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| automating open source intelligence algorithms for osint: Automating Open Source Intelligence Robert Layton, Paul A Watters, 2015-12-03 Algorithms for Automating Open Source Intelligence (OSINT) presents information on the gathering of information and extraction of actionable intelligence from openly available sources, including news broadcasts, public repositories, and more recently, social media. As OSINT has applications in crime fighting, state-based intelligence, and social research, this book provides recent advances in text mining, web crawling, and other algorithms that have led to advances in methods that can largely automate this process. The book is beneficial to both practitioners and academic researchers, with discussions of the latest advances in applications, a coherent set of methods and processes for automating OSINT, and interdisciplinary perspectives on the key problems identified within each discipline. Drawing upon years of practical experience and using numerous examples, editors Robert Layton, Paul Watters, and a distinguished list of contributors discuss Evidence Accumulation Strategies for OSINT, Named Entity Resolution in Social Media, Analyzing Social Media Campaigns for Group Size Estimation, Surveys and qualitative techniques in OSINT, and Geospatial reasoning of open data. - Presents a coherent set of methods and processes for automating OSINT - Focuses on algorithms and applications allowing the practitioner to get up and running quickly - Includes fully developed case studies on the digital underground and predicting crime through OSINT - Discusses the ethical considerations when using publicly available online data |
| automating open source intelligence algorithms for osint: Automating Open Source Intelligence Robert Layton, Paul A. Watters, 2015-11-15 Algorithms for Automating Open Source Intelligence (OSINT) presents information on the gathering of information and extraction of actionable intelligence from openly available sources, including news broadcasts, public repositories, and more recently, social media. As OSINT has applications in crime fighting, state-based intelligence, and social research, this book provides recent advances in text mining, web crawling, and other algorithms that have led to advances in methods that can largely automate this process. The book is beneficial to both practitioners and academic researchers, with discussions of the latest advances in applications, a coherent set of methods and processes for automating OSINT, and interdisciplinary perspectives on the key problems identified within each discipline. Drawing upon years of practical experience and using numerous examples, editors Robert Layton, Paul Watters, and a distinguished list of contributors discuss Evidence Accumulation Strategies for OSINT, Named Entity Resolution in Social Media, Analyzing Social Media Campaigns for Group Size Estimation, Surveys and qualitative techniques in OSINT, and Geospatial reasoning of open data. Presents a coherent set of methods and processes for automating OSINT Focuses on algorithms and applications allowing the practitioner to get up and running quickly Includes fully developed case studies on the digital underground and predicting crime through OSINT Discusses the ethical considerations when using publicly available online data |
| automating open source intelligence algorithms for osint: Open Source Intelligence Methods and Tools Nihad A. Hassan, Rami Hijazi, 2018-06-30 Apply Open Source Intelligence (OSINT) techniques, methods, and tools to acquire information from publicly available online sources to support your intelligence analysis. Use the harvested data in different scenarios such as financial, crime, and terrorism investigations as well as performing business competition analysis and acquiring intelligence about individuals and other entities. This book will also improve your skills to acquire information online from both the regular Internet as well as the hidden web through its two sub-layers: the deep web and the dark web. The author includes many OSINT resources that can be used by intelligence agencies as well as by enterprises to monitor trends on a global level, identify risks, and gather competitor intelligence so more effective decisions can be made. You will discover techniques, methods, and tools that are equally used by hackers and penetration testers to gather intelligence about a specific target online. And you will be aware of how OSINT resources can be used in conducting social engineering attacks. Open Source Intelligence Methods and Tools takes a practical approach and lists hundreds of OSINT resources that can be used to gather intelligence from online public sources. The book also covers how to anonymize your digital identity online so you can conduct your searching activities without revealing your identity. What You’ll Learn Identify intelligence needs and leverage a broad range of tools and sources to improve data collection, analysis, and decision making in your organization Use OSINT resources to protect individuals and enterprises by discovering data that is online, exposed, and sensitive and hide the data before it is revealed by outside attackers Gather corporate intelligence about business competitors and predict future market directions Conduct advanced searches to gather intelligence from social media sites such as Facebook and Twitter Understand the different layers that make up the Internet and how to search within the invisible web which contains both the deep and the dark webs Who This Book Is For Penetration testers, digital forensics investigators, intelligence services, military, law enforcement, UN agencies, and for-profit/non-profit enterprises |
| automating open source intelligence algorithms for osint: Hacking Web Intelligence Sudhanshu Chauhan, Nutan Kumar Panda, 2015-04-13 Open source intelligence (OSINT) and web reconnaissance are rich topics for infosec professionals looking for the best ways to sift through the abundance of information widely available online. In many cases, the first stage of any security assessment—that is, reconnaissance—is not given enough attention by security professionals, hackers, and penetration testers. Often, the information openly present is as critical as the confidential data. Hacking Web Intelligence shows you how to dig into the Web and uncover the information many don't even know exists. The book takes a holistic approach that is not only about using tools to find information online but also how to link all the information and transform it into presentable and actionable intelligence. You will also learn how to secure your information online to prevent it being discovered by these reconnaissance methods. Hacking Web Intelligence is an in-depth technical reference covering the methods and techniques you need to unearth open source information from the Internet and utilize it for the purpose of targeted attack during a security assessment. This book will introduce you to many new and leading-edge reconnaissance, information gathering, and open source intelligence methods and techniques, including metadata extraction tools, advanced search engines, advanced browsers, power searching methods, online anonymity tools such as TOR and i2p, OSINT tools such as Maltego, Shodan, Creepy, SearchDiggity, Recon-ng, Social Network Analysis (SNA), Darkweb/Deepweb, data visualization, and much more. - Provides a holistic approach to OSINT and Web recon, showing you how to fit all the data together into actionable intelligence - Focuses on hands-on tools such as TOR, i2p, Maltego, Shodan, Creepy, SearchDiggity, Recon-ng, FOCA, EXIF, Metagoofil, MAT, and many more - Covers key technical topics such as metadata searching, advanced browsers and power searching, online anonymity, Darkweb / Deepweb, Social Network Analysis (SNA), and how to manage, analyze, and visualize the data you gather - Includes hands-on technical examples and case studies, as well as a Python chapter that shows you how to create your own information-gathering tools and modify existing APIs |
| automating open source intelligence algorithms for osint: Open Source Intelligence Investigation Babak Akhgar, P. Saskia Bayerl, Fraser Sampson, 2017-01-01 One of the most important aspects for a successful police operation is the ability for the police to obtain timely, reliable and actionable intelligence related to the investigation or incident at hand. Open Source Intelligence (OSINT) provides an invaluable avenue to access and collect such information in addition to traditional investigative techniques and information sources. This book offers an authoritative and accessible guide on how to conduct Open Source Intelligence investigations from data collection to analysis to the design and vetting of OSINT tools. In its pages the reader will find a comprehensive view into the newest methods for OSINT analytics and visualizations in combination with real-life case studies to showcase the application as well as the challenges of OSINT investigations across domains. Examples of OSINT range from information posted on social media as one of the most openly available means of accessing and gathering Open Source Intelligence to location data, OSINT obtained from the darkweb to combinations of OSINT with real-time analytical capabilities and closed sources. In addition it provides guidance on legal and ethical considerations making it relevant reading for practitioners as well as academics and students with a view to obtain thorough, first-hand knowledge from serving experts in the field. |
| automating open source intelligence algorithms for osint: Open Source Investigations In The Age Of Google Henrietta Wilson, Olamide Samuel, Dan Plesch, 2024-05-21 How did a journalist find out who was responsible for bombing hospitals in Syria from his desk in New York? How can South Sudanese monitors safely track and detail the weapons in their communities and make sure that global audiences take notice? How do researchers in London coordinate worldwide work uncovering global corruption? What are policy-makers, lawyers, and intelligence agencies doing to keep up with and make use of these activities?In the age of Google, threats to human security are being tracked in completely new ways. Human rights abuses, political violence, nuclear weapons, corruption, radicalization, and conflict are all being monitored, analyzed, and documented. Although open source investigations are neither easy to conduct nor straightforward to apply, with diligence and effort, societies, agencies, and individuals have the potential to use them to strengthen security.This interdisciplinary book presents 18 original chapters by prize-winning practitioners, experts, and rising stars, detailing what open source investigations are and how they are carried out, and examining the opportunities and challenges they present to global transparency, accountability and justice. It is essential reading for current and future digital investigators, journalists, and scholars of global governance, international relations and humanitarian law, as well as anyone interested in the possibilities and dangers of this new field. |
| automating open source intelligence algorithms for osint: Machine Learning and Security Clarence Chio, David Freeman, 2018-01-26 Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions |
| automating open source intelligence algorithms for osint: Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities Segall, Richard S., Niu, Gao, 2020-02-21 With the development of computing technologies in today’s modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines. |
| automating open source intelligence algorithms for osint: Defining Second Generation Open Source Intelligence (OSINT) for the Defense Enterprise Heather J. Williams, Ilana Blum, 2018 Prepared for the Office of the Secretary of Defense. |
| automating open source intelligence algorithms for osint: Digital Witness Sam Dubberley, Alexa Koenig, Daragh Murray, 2020 This book covers the developing field of open source research and discusses how to use social media, satellite imagery, big data analytics, and user-generated content to strengthen human rights research and investigations. The topics are presented in an accessible format through extensive use of images and data visualization. |
| automating open source intelligence algorithms for osint: Research Anthology on Big Data Analytics, Architectures, and Applications Management Association, Information Resources, 2021-09-24 Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians. |
| automating open source intelligence algorithms for osint: Computer Security. ESORICS 2022 International Workshops Sokratis Katsikas, Frédéric Cuppens, Christos Kalloniatis, John Mylopoulos, Frank Pallas, Jörg Pohle, M. Angela Sasse, Habtamu Abie, Silvio Ranise, Luca Verderame, Enrico Cambiaso, Jorge Maestre Vidal, Marco Antonio Sotelo Monge, Massimiliano Albanese, Basel Katt, Sandeep Pirbhulal, Ankur Shukla, 2023-02-17 This book constitutes the refereed proceedings of seven International Workshops which were held in conjunction with the 27th European Symposium on Research in Computer Security, ESORICS 2022, held in hybrid mode, in Copenhagen, Denmark, during September 26-30, 2022. The 39 papers included in these proceedings stem from the following workshops: 8th Workshop on the Security of Industrial Control Systems and of Cyber-Physical Systems, CyberICPS 2022, which accepted 8 papers from 15 submissions; 6th International Workshop on Security and Privacy Requirements Engineering, SECPRE 2022, which accepted 2 papers from 5 submissions; Second Workshop on Security, Privacy, Organizations, and Systems Engineering, SPOSE 2022, which accepted 4 full papers out of 13 submissions; Third Cyber-Physical Security for Critical Infrastructures Protection, CPS4CIP 2022, which accepted 9 full and 1 short paper out of 19 submissions; Second International Workshop on Cyber Defence Technologies and Secure Communications at the Network Edge, CDT & SECOMANE 2022, which accepted 5 papers out of 8 submissions; First International Workshop on Election Infrastructure Security, EIS 2022, which accepted 5 papers out of 10 submissions; and First International Workshop on System Security Assurance, SecAssure 2022, which accepted 5 papers out of 10 submissions. Chapter(s) “Measuring the Adoption of TLS Encrypted Client Hello Extension and Its Forebear in the Wild” is/are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. |
| automating open source intelligence algorithms for osint: Technology Assessment of Dual-Use ICTs Thea Riebe, 2023-06-30 Information and Communication Technologies (ICTs) are important to human, national, and even international security. IT research, artifacts, and knowledge that can be applied in military and civilian contexts, used as part of weapon systems, or cause significant harm are referred to as dual-use. Advances in artificial intelligence (AI), robotics, cybersecurity, and open source intelligence (OSINT) raise questions about their dual-use risks. But how can dual-use of such disparate technologies be assessed? Case studies are still lacking on how to assess dual-use ICT and how to enable sensitive and responsible dual-use design. To address the research gap, this cumulative dissertation uses Technology Assessment (TA) as an epistemological framework to bring together approaches of Critical Security Studies (CSS) as well as Value Sensitive Design (VSD) from the field of Human-Computer Interaction (HCI). As a result, the dissertation systematizes the dual-use risks and scenarios of the selected ICTs and derives organizational and design implications. |
| automating open source intelligence algorithms for osint: Counterintelligence in a Cyber World Paul A. Watters, 2023-06-26 This book provides an outline of the major challenges and methodologies for applying classic counterintelligence theory into the cybersecurity domain. This book also covers operational security approaches to cyber, alongside detailed descriptions of contemporary cybersecurity threats, in the context of psychological and criminal profiling of cybercriminals. Following an analysis of the plethora of counterespionage techniques that can be mapped to the cyber realm, the mechanics of undertaking technical surveillance are reviewed. A range of approaches to web and forum surveillance are outlined as a virtual addition to traditional video and audio surveillance captured regarding targets. This includes a description of the advances in Artificial Intelligence, predictive analysis, support for the disciplines of digital forensics, behavioural analysis and Open Source Intelligence (OSINT). The rise of disinformation and misinformation and the veracity of widespread false flag claims are discussed at length, within the broader context of legal and ethical issues in cyber counterintelligence. This book is designed for professionals working in the intelligence, law enforcement or cybersecurity domains to further explore and examine the contemporary intersection of these disciplines. Students studying cybersecurity, justice, law, intelligence, criminology or related fields may also find the book useful as a reference volume, while instructors could utilise the whole volume or individual chapters as a secondary textbook or required reading. |
| automating open source intelligence algorithms for osint: National Forest Inventories of Latin America and the Caribbean Ramírez, C., Alberdi, I., Bahamondez, C., Freitas, J., 2022-06-24 National forest inventories (NFIs) are one of the main sources of forest information. This book describes the importance and history of NFIs in Latin America and the Caribbean, a region that is particularly relevant due to the extension and biodiversity of its forests. Methodologies for data collection and measurement of the most relevant indicators in 21 countries are addressed. In addition, similarities and differences in IFN designs, challenges and opportunities, and prospects for the future are examined. This analysis demonstrates that the information generated by the countries is diverse and must be harmonized to meet the commitments and opportunities for sustainable forest management in the 21st century. This publication represents a milestone in the beginning of the harmonization process towards data transparency within the forestry sector in Latin America and the Caribbean and constitutes the first collaborative effort of a network of NFI experts and collaborators in the region. |
| automating open source intelligence algorithms for osint: Digital Science Tatiana Antipova, Alvaro Rocha, 2018-10-18 This book gathers the proceedings of the 2018 International Conference on Digital Science (DSIC’18), held in Budva, Montenegro, on October 19 – 21, 2018. DSIC’18 was an international forum for researchers and practitioners to present and discuss the latest innovations, trends, results, experiences and concerns in Digital Science. The main goal of the Conference was to efficiently disseminate original findings in the natural and social sciences, art & the humanities. The contributions address the following topics: Digital Agriculture & Food Technology Digital Art & Humanities Digital Economics Digital Education Digital Engineering Digital Environmental Sciences Digital Finance, Business & Banking Digital Health Care, Hospitals & Rehabilitation Digital Media Digital Medicine, Pharma & Public Health Digital Public Administration Digital Technology & Applied Sciences Digital Virtual Reality |
| automating open source intelligence algorithms for osint: Bioinformatics Dev Bukhsh Singh, Rajesh Kumar Pathak, 2021-10-21 Bioinformatics: Methods and Applications provides a thorough and detailed description of principles, methods, and applications of bioinformatics in different areas of life sciences. It presents a compendium of many important topics of current advanced research and basic principles/approaches easily applicable to diverse research settings. The content encompasses topics such as biological databases, sequence analysis, genome assembly, RNA sequence data analysis, drug design, and structural and functional analysis of proteins. In addition, it discusses computational approaches for vaccine design, systems biology and big data analysis, and machine learning in bioinformatics.It is a valuable source for bioinformaticians, computer biologists, and members of biomedical field who needs to learn bioinformatics approaches to apply to their research and lab activities. - Covers basic and more advanced developments of bioinformatics with a diverse and interdisciplinary approach to fulfill the needs of readers from different backgrounds - Explains in a practical way how to decode complex biological problems using computational approaches and resources - Brings case studies, real-world examples and several protocols to guide the readers with a problem-solving approach |
| automating open source intelligence algorithms for osint: A Modern Guide to Creative Economies Comunian, Roberta, Faggian, Alessandra, Heinonen, Jarna, Wilson, Nick, 2022-08-23 Bringing together a series of new perspectives and reflections on creative economies, this insightful Modern Guide expands and challenges current knowledge in the field. Interdisciplinary in scope, it features a broad range of contributions from both leading and emerging scholars, which provide innovative, critical research into a wide range of disciplines, including arts and cultural management, cultural policy, cultural sociology, economics, entrepreneurship, management and business studies, geography, humanities, and media studies. |
| automating open source intelligence algorithms for osint: Aviation Systems Andreas Wittmer, Thomas Bieger, Roland Müller, 2021-10-13 This book provides an overview of the aviation sector by focusing on all major aspects embedded in the environment (subsystems) and the market of aviation. The book explains the linkages between subsystems politics, society, technology, economy, environment, and regulation, and how these subsystems influence each other and the market. The book starts by describing the aviation system, then focuses on the supply side and the demand side of the system and in a final part focuses on steering and controlling the system of aviation from a managerial, economic, and regulatory perspective. Examples and case studies of airports, airlines, and the production industry in each chapter support the application-oriented approach. The summary and review questions help the reader to understand the focus and main messages of each chapter. Students and researchers in business administration with a focus on aviation, as well as professionals in the industry looking to refresh or broaden their knowledge in the field will benefit from this book. |
| automating open source intelligence algorithms for osint: Analysing Users' Interactions with Khan Academy Repositories Sahar Yassine, Seifedine Kadry, Miguel-Ángel Sicilia, 2021-11-15 This book addresses the need to explore user interaction with online learning repositories and the detection of emergent communities of users. This is done through investigating and mining the Khan Academy repository; a free, open access, popular online learning repository addressing a wide content scope. It includes large numbers of different learning objects such as instructional videos, articles, and exercises. The authors conducted descriptive analysis to investigate the learning repository and its core features such as growth rate, popularity, and geographical distribution. The authors then analyzed this graph and explored the social network structure, studied two different community detection algorithms to identify the learning interactions communities emerged in Khan Academy then compared between their effectiveness. They then applied different SNA measures including modularity, density, clustering coefficients and different centrality measures to assess the users’ behavior patterns and their presence. By applying community detection techniques and social network analysis, the authors managed to identify learning communities in Khan Academy’s network. The size distribution of those communities found to follow the power-law distribution which is the case of many real-world networks. Despite the popularity of online learning repositories and their wide use, the structure of the emerged learning communities and their social networks remain largely unexplored. This book could be considered initial insights that may help researchers and educators in better understanding online learning repositories, the learning process inside those repositories, and learner behavior. |
| automating open source intelligence algorithms for osint: Machine Learning and Security Clarence Chio, David Freeman, 2018-01-26 Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions |
| automating open source intelligence algorithms for osint: Evolutionary Computing and Mobile Sustainable Networks V. Suma, Xavier Fernando, Ke-Lin Du, Haoxiang Wang, 2022-03-21 This book mainly reflects the recent research works in evolutionary computation technologies and mobile sustainable networks with a specific focus on computational intelligence and communication technologies that widely ranges from theoretical foundations to practical applications in enhancing the sustainability of mobile networks. Today, network sustainability has become a significant research domain in both academia and industries present across the globe. Also, the network sustainability paradigm has generated a solution for existing optimization challenges in mobile communication networks. Recently, the research advances in evolutionary computing technologies including swarm intelligence algorithms and other evolutionary algorithm paradigms are considered as the widely accepted descriptors for mobile sustainable networks virtualization, optimization, and automation. To deal with the emerging impacts on mobile communication networks, this book discusses about the state-of-the research works on developing a sustainable design and their implementation in mobile networks. With the advent of evolutionary computation algorithms, this book contributes varied research chapters to develop a new perspective on mobile sustainable networks. |
| automating open source intelligence algorithms for osint: Threatcasting Brian David Johnson, Cyndi Coon, Natalie Vanatta, 2022-06-01 Impending technological advances will widen an adversary’s attack plane over the next decade. Visualizing what the future will hold, and what new threat vectors could emerge, is a task that traditional planning mechanisms struggle to accomplish given the wide range of potential issues. Understanding and preparing for the future operating environment is the basis of an analytical method known as Threatcasting. It is a method that gives researchers a structured way to envision and plan for risks ten years in the future. Threatcasting uses input from social science, technical research, cultural history, economics, trends, expert interviews, and even a little science fiction to recognize future threats and design potential futures. During this human-centric process, participants brainstorm what actions can be taken to identify, track, disrupt, mitigate, and recover from the possible threats. Specifically, groups explore how to transform the future they desire into reality while avoiding an undesired future. The Threatcasting method also exposes what events could happen that indicate the progression toward an increasingly possible threat landscape. This book begins with an overview of the Threatcasting method with examples and case studies to enhance the academic foundation. Along with end-of-chapter exercises to enhance the reader’s understanding of the concepts, there is also a full project where the reader can conduct a mock Threatcasting on the topic of “the next biological public health crisis.” The second half of the book is designed as a practitioner’s handbook. It has three separate chapters (based on the general size of the Threatcasting group) that walk the reader through how to apply the knowledge from Part I to conduct an actual Threatcasting activity. This book will be useful for a wide audience (from student to practitioner) and will hopefully promote new dialogues across communities and novel developments in the area. |
| automating open source intelligence algorithms for osint: A Decadal Survey of the Social and Behavioral Sciences ENGINEERING NATIONAL ACADEMIES OF SCIENCES (AND M.), National Academies of Sciences, Engineering, and Medicine (U.S.). Committee on a Decadal Survey of Social and Behavioral Sciences for Applications to National Security, 2019 The Digest Version of A Decadal Survey of the Social and Behavioral Sciences: A Research Agenda for Advancing Intelligence Analysis summarizes the most important ideas from the full report for the Intelligence Community to consider in the coming decade. This volume provides an overview of the primary opportunities that research in the social and behavioral sciences offers for strengthening national security, specifically the work of the intelligence analyst, and the conclusions and recommendations of the Committee on a Decadal Survey of Social and Behavioral Sciences for Applications to National Survey. This digest version is a succinct roadmap to the critical contribution researchers from these fields make to national security--Publisher's description |
| automating open source intelligence algorithms for osint: 21st Century Crime Naval Postgraduate School, Kevin M Peters, 2019-03 Artificial intelligence (AI) is a field of research with the potential to radically change society's use of information technology, particularly how personal information will be interconnected and how private lives will be accessible to cybercriminals. Criminals, motivated by profit, are likely to adapt future AI software systems to their operations, further complicating present-day cybercrime investigations. This thesis examines how transnational criminal organizations and cybercriminals may leverage developing AI technology to conduct more sophisticated criminal activities and what steps the homeland security enterprise should take to prepare. Through a future scenario methodology, four scenarios were developed to project how cybercriminals might use AI systems and what should be done now to protect the United States from the malicious use of AI. This thesis recommends that homeland security officials expand outreach initiatives among private industry and academia that are developing AI systems to understand the dual-use implications of emerging AI technology and to provide public security perspectives to AI research entities. Finally, this thesis recommends that federal agencies develop specific initiatives-aligning with existing national cyber and AI strategies-that confront the potential challenge of future, AI-enabled cybercrime. |
| automating open source intelligence algorithms for osint: Challenges in Cybersecurity and Privacy - The European Research Landscape Jorge Bernal Bernabe, Antonio Skarmeta, 2024-10-21 This book introduces several cybersecurity and privacy research challenges and how they are being addressed in the scope of 15 European research projects.Each chapter is dedicated to a different funded European Research project, which aims to cope with digital security and privacy aspects, risks, threats and cybersecurity issues. |
| automating open source intelligence algorithms for osint: Digital Forensics with Open Source Tools Harlan Carvey, Cory Altheide, 2011-03-29 Digital Forensics with Open Source Tools is the definitive book on investigating and analyzing computer systems and media using open source tools. The book is a technical procedural guide, and explains the use of open source tools on Mac, Linux and Windows systems as a platform for performing computer forensics. Both well-known and novel forensic methods are demonstrated using command-line and graphical open source computer forensic tools for examining a wide range of target systems and artifacts. Written by world-renowned forensic practitioners, this book uses the most current examination and analysis techniques in the field. It consists of 9 chapters that cover a range of topics such as the open source examination platform; disk and file system analysis; Windows systems and artifacts; Linux systems and artifacts; Mac OS X systems and artifacts; Internet artifacts; and automating analysis and extending capabilities. The book lends itself to use by students and those entering the field who do not have means to purchase new tools for different investigations. This book will appeal to forensic practitioners from areas including incident response teams and computer forensic investigators; forensic technicians from legal, audit, and consulting firms; and law enforcement agencies. - Written by world-renowned forensic practitioners - Details core concepts and techniques of forensic file system analysis - Covers analysis of artifacts from the Windows, Mac, and Linux operating systems |
| automating open source intelligence algorithms for osint: RAND's Scalable Warning and Resilience Model (SWARM) Bilyana Lilly, Adam S. Moore, Quentin E. Hodgson, 2021-07-30 The model introduced in this report is intended to enhance the predictive capabilities available to cyber defenders while also augmenting resilience by improving preventions and detections of cyber threats. The authors test this model's effectiveness in attacks on the RAND Corporation and report the results. |
| automating open source intelligence algorithms for osint: Metasploit David Kennedy, Jim O'Gorman, Devon Kearns, Mati Aharoni, 2011-07-15 The Metasploit Framework makes discovering, exploiting, and sharing vulnerabilities quick and relatively painless. But while Metasploit is used by security professionals everywhere, the tool can be hard to grasp for first-time users. Metasploit: The Penetration Tester's Guide fills this gap by teaching you how to harness the Framework and interact with the vibrant community of Metasploit contributors. Once you've built your foundation for penetration testing, you’ll learn the Framework's conventions, interfaces, and module system as you launch simulated attacks. You’ll move on to advanced penetration testing techniques, including network reconnaissance and enumeration, client-side attacks, wireless attacks, and targeted social-engineering attacks. Learn how to: –Find and exploit unmaintained, misconfigured, and unpatched systems –Perform reconnaissance and find valuable information about your target –Bypass anti-virus technologies and circumvent security controls –Integrate Nmap, NeXpose, and Nessus with Metasploit to automate discovery –Use the Meterpreter shell to launch further attacks from inside the network –Harness standalone Metasploit utilities, third-party tools, and plug-ins –Learn how to write your own Meterpreter post exploitation modules and scripts You'll even touch on exploit discovery for zero-day research, write a fuzzer, port existing exploits into the Framework, and learn how to cover your tracks. Whether your goal is to secure your own networks or to put someone else's to the test, Metasploit: The Penetration Tester's Guide will take you there and beyond. |
| automating open source intelligence algorithms for osint: Good Data Angela Daly, Monique Mann, S. Kate Devitt, 2019-01-23 Moving away from the strong body of critique of pervasive ?bad data? practices by both governments and private actors in the globalized digital economy, this book aims to paint an alternative, more optimistic but still pragmatic picture of the datafied future. The authors examine and propose ?good data? practices, values and principles from an interdisciplinary, international perspective. From ideas of data sovereignty and justice, to manifestos for change and calls for activism, this collection opens a multifaceted conversation on the kinds of futures we want to see, and presents concrete steps on how we can start realizing good data in practice. |
| automating open source intelligence algorithms for osint: Practical Threat Intelligence and Data-Driven Threat Hunting Valentina Costa-Gazcón, 2021-02-12 Get to grips with cyber threat intelligence and data-driven threat hunting while exploring expert tips and techniques Key Features Set up an environment to centralize all data in an Elasticsearch, Logstash, and Kibana (ELK) server that enables threat hunting Carry out atomic hunts to start the threat hunting process and understand the environment Perform advanced hunting using MITRE ATT&CK Evals emulations and Mordor datasets Book DescriptionThreat hunting (TH) provides cybersecurity analysts and enterprises with the opportunity to proactively defend themselves by getting ahead of threats before they can cause major damage to their business. This book is not only an introduction for those who don’t know much about the cyber threat intelligence (CTI) and TH world, but also a guide for those with more advanced knowledge of other cybersecurity fields who are looking to implement a TH program from scratch. You will start by exploring what threat intelligence is and how it can be used to detect and prevent cyber threats. As you progress, you’ll learn how to collect data, along with understanding it by developing data models. The book will also show you how to set up an environment for TH using open source tools. Later, you will focus on how to plan a hunt with practical examples, before going on to explore the MITRE ATT&CK framework. By the end of this book, you’ll have the skills you need to be able to carry out effective hunts in your own environment.What you will learn Understand what CTI is, its key concepts, and how it is useful for preventing threats and protecting your organization Explore the different stages of the TH process Model the data collected and understand how to document the findings Simulate threat actor activity in a lab environment Use the information collected to detect breaches and validate the results of your queries Use documentation and strategies to communicate processes to senior management and the wider business Who this book is for If you are looking to start out in the cyber intelligence and threat hunting domains and want to know more about how to implement a threat hunting division with open-source tools, then this cyber threat intelligence book is for you. |
| automating open source intelligence algorithms for osint: Open Source Intelligence Techniques Michael Bazzell, 2016 This book will serve as a reference guide for anyone that is responsible for the collection of online content. It is written in a hands-on style that encourages the reader to execute the tutorials as they go. The search techniques offered will inspire analysts to think outside the box when scouring the internet for personal information. Much of the content of this book has never been discussed in any publication. Always thinking like a hacker, the author has identified new ways to use various technologies for an unintended purpose. This book will improve anyone's online investigative skills. Among other techniques, you will learn how to locate: Hidden Social Network Content, Cell Phone Owner Information, Twitter GPS & Account Data, Hidden Photo GPS & Metadata, Deleted Websites & Posts, Website Owner Information, Alias Social Network Profiles, Additional User Accounts, Sensitive Documents & Photos, Live Streaming Social Content, IP Addresses of Users, Newspaper Archives & Scans, Social Content by Location, Private Email Addresses, Historical Satellite Imagery, Duplicate Copies of Photos, Local Personal Radio Frequencies, Compromised Email Information, Wireless Routers by Location, Hidden Mapping Applications, Complete Facebook Data, Free Investigative Software, Alternative Search Engines, Stolen Items for Sale, Unlisted Addresses, Unlisted Phone Numbers, Public Government Records, Document Metadata, Rental Vehicle Contracts, Online Criminal Activity. |
| automating open source intelligence algorithms for osint: Threat Hunting in the Cloud Chris Peiris, Binil Pillai, Abbas Kudrati, 2021-08-31 Implement a vendor-neutral and multi-cloud cybersecurity and risk mitigation framework with advice from seasoned threat hunting pros In Threat Hunting in the Cloud: Defending AWS, Azure and Other Cloud Platforms Against Cyberattacks, celebrated cybersecurity professionals and authors Chris Peiris, Binil Pillai, and Abbas Kudrati leverage their decades of experience building large scale cyber fusion centers to deliver the ideal threat hunting resource for both business and technical audiences. You'll find insightful analyses of cloud platform security tools and, using the industry leading MITRE ATT&CK framework, discussions of the most common threat vectors. You'll discover how to build a side-by-side cybersecurity fusion center on both Microsoft Azure and Amazon Web Services and deliver a multi-cloud strategy for enterprise customers. And you will find out how to create a vendor-neutral environment with rapid disaster recovery capability for maximum risk mitigation. With this book you'll learn: Key business and technical drivers of cybersecurity threat hunting frameworks in today's technological environment Metrics available to assess threat hunting effectiveness regardless of an organization's size How threat hunting works with vendor-specific single cloud security offerings and on multi-cloud implementations A detailed analysis of key threat vectors such as email phishing, ransomware and nation state attacks Comprehensive AWS and Azure how to solutions through the lens of MITRE Threat Hunting Framework Tactics, Techniques and Procedures (TTPs) Azure and AWS risk mitigation strategies to combat key TTPs such as privilege escalation, credential theft, lateral movement, defend against command & control systems, and prevent data exfiltration Tools available on both the Azure and AWS cloud platforms which provide automated responses to attacks, and orchestrate preventative measures and recovery strategies Many critical components for successful adoption of multi-cloud threat hunting framework such as Threat Hunting Maturity Model, Zero Trust Computing, Human Elements of Threat Hunting, Integration of Threat Hunting with Security Operation Centers (SOCs) and Cyber Fusion Centers The Future of Threat Hunting with the advances in Artificial Intelligence, Machine Learning, Quantum Computing and the proliferation of IoT devices. Perfect for technical executives (i.e., CTO, CISO), technical managers, architects, system admins and consultants with hands-on responsibility for cloud platforms, Threat Hunting in the Cloud is also an indispensable guide for business executives (i.e., CFO, COO CEO, board members) and managers who need to understand their organization's cybersecurity risk framework and mitigation strategy. |
| automating open source intelligence algorithms for osint: Innovation, Engineering and Entrepreneurship José Machado, Filomena Soares, Germano Veiga, 2018-06-02 This book presents endeavors to join synergies in order to create added value for society, using the latest scientific knowledge to boost technology transfer from academia to industry. It potentiates the foundations for the creation of knowledge- and entrepreneurial cooperation networks involving engineering, innovation, and entrepreneurship stakeholders. The Regional HELIX 2018 conference was organized at the University of Minho’s School of Engineering by the MEtRICs and Algoritmi Research Centers, and took place in Guimarães, Portugal, from June 27th to 29th, 2018. After a rigorous peer-review process, 160 were accepted for publication, covering a wide range of topics, including Control, Automation and Robotics; Mechatronics Design, Medical Devices and Wellbeing; Cyber-Physical Systems, IoT and Industry 4.0; Innovations in Industrial Context and Advanced Manufacturing; New Trends in Mechanical Systems Development; Advanced Materials and Innovative Applications; Waste to Energy and Sustainable Environment; Operational Research and Industrial Mathematics; Innovation and Collaborative Arrangements; Entrepreneurship and Internationalization; and Oriented Education for Innovation, Engineering and/or Entrepreneurship. |
| automating open source intelligence algorithms for osint: Technology, Policy, Law, and Ethics Regarding U.S. Acquisition and Use of Cyberattack Capabilities National Research Council, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Committee on Offensive Information Warfare, 2009-11-27 The United States is increasingly dependent on information and information technology for both civilian and military purposes, as are many other nations. Although there is a substantial literature on the potential impact of a cyberattack on the societal infrastructure of the United States, little has been written about the use of cyberattack as an instrument of U.S. policy. Cyberattacks-actions intended to damage adversary computer systems or networks-can be used for a variety of military purposes. But they also have application to certain missions of the intelligence community, such as covert action. They may be useful for certain domestic law enforcement purposes, and some analysts believe that they might be useful for certain private sector entities who are themselves under cyberattack. This report considers all of these applications from an integrated perspective that ties together technology, policy, legal, and ethical issues. Focusing on the use of cyberattack as an instrument of U.S. national policy, Technology, Policy, Law and Ethics Regarding U.S. Acquisition and Use of Cyberattack Capabilities explores important characteristics of cyberattack. It describes the current international and domestic legal structure as it might apply to cyberattack, and considers analogies to other domains of conflict to develop relevant insights. Of special interest to the military, intelligence, law enforcement, and homeland security communities, this report is also an essential point of departure for nongovernmental researchers interested in this rarely discussed topic. |
| automating open source intelligence algorithms for osint: Software Architecture Anton Jansen, Ivano Malavolta, Henry Muccini, Ipek Ozkaya, Olaf Zimmermann, 2020-09-09 This book constitutes the refereed proceedings of the 14th International Conference on Software Architecture, ECSA 2020, held in A’quila, Italy, in September 2020. In the Research Track, 12 full papers presented together with 5 short papers were carefully reviewed and selected from 103 submissions. They are organized in topical sections as follows: microservices; uncertainty, self-adaptive, and open systems; model-based approaches; performance and security engineering; architectural smells and source code analysis; education and training; experiences and learnings from industrial case studies; and architecting contemporary distributed systems. In the Industrial Track, 11 submissions were received and 6 were accepted to form part of these proceedings. In addition the book contains 3 keynote talks. Due to the Corona pandemic ECSA 2020 was held as an virtual event. |
| automating open source intelligence algorithms for osint: Spying Blind Amy B. Zegart, 2009-02-17 In this pathbreaking book, Amy Zegart provides the first scholarly examination of the intelligence failures that preceded September 11. Until now, those failures have been attributed largely to individual mistakes. But Zegart shows how and why the intelligence system itself left us vulnerable. Zegart argues that after the Cold War ended, the CIA and FBI failed to adapt to the rise of terrorism. She makes the case by conducting painstaking analysis of more than three hundred intelligence reform recommendations and tracing the history of CIA and FBI counterterrorism efforts from 1991 to 2001, drawing extensively from declassified government documents and interviews with more than seventy high-ranking government officials. She finds that political leaders were well aware of the emerging terrorist danger and the urgent need for intelligence reform, but failed to achieve the changes they sought. The same forces that have stymied intelligence reform for decades are to blame: resistance inside U.S. intelligence agencies, the rational interests of politicians and career bureaucrats, and core aspects of our democracy such as the fragmented structure of the federal government. Ultimately failures of adaptation led to failures of performance. Zegart reveals how longstanding organizational weaknesses left unaddressed during the 1990s prevented the CIA and FBI from capitalizing on twenty-three opportunities to disrupt the September 11 plot. Spying Blind is a sobering account of why two of America's most important intelligence agencies failed to adjust to new threats after the Cold War, and why they are unlikely to adapt in the future. |
| automating open source intelligence algorithms for osint: Cyber Threat Intelligence Ali Dehghantanha, Mauro Conti, Tooska Dargahi, 2018-04-27 This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat actors and threat tools (i.e. ransomware) in cutting-edge technologies, i.e., Internet of Things (IoT), Cloud computing and mobile devices. This book also provides the technical information on cyber-threat detection methods required for the researcher and digital forensics experts, in order to build intelligent automated systems to fight against advanced cybercrimes. The ever increasing number of cyber-attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost real-time, and with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions – this in essence defines cyber threat intelligence notion. However, such intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyze, and interpret cyber-attack campaigns which is covered in this book. This book will focus on cutting-edge research from both academia and industry, with a particular emphasis on providing wider knowledge of the field, novelty of approaches, combination of tools and so forth to perceive reason, learn and act on a wide range of data collected from different cyber security and forensics solutions. This book introduces the notion of cyber threat intelligence and analytics and presents different attempts in utilizing machine learning and data mining techniques to create threat feeds for a range of consumers. Moreover, this book sheds light on existing and emerging trends in the field which could pave the way for future works. The inter-disciplinary nature of this book, makes it suitable for a wide range of audiences with backgrounds in artificial intelligence, cyber security, forensics, big data and data mining, distributed systems and computer networks. This would include industry professionals, advanced-level students and researchers that work within these related fields. |
| automating open source intelligence algorithms for osint: Handbook of e-Business Security João Manuel R.S. Tavares, Brojo Kishore Mishra, Raghvendra Kumar, Noor Zaman, Manju Khari, 2018-07-27 There are a lot of e-business security concerns. Knowing about e-business security issues will likely help overcome them. Keep in mind, companies that have control over their e-business are likely to prosper most. In other words, setting up and maintaining a secure e-business is essential and important to business growth. This book covers state-of-the art practices in e-business security, including privacy, trust, security of transactions, big data, cloud computing, social network, and distributed systems. |
| automating open source intelligence algorithms for osint: The Well-Grounded Java Developer, Second Edition Benjamin Evans, Martijn Verburg, Jason Clark, 2022-12-27 Understanding Java from the JVM up gives you a solid foundation to grow your expertise and take on advanced techniques for performance, concurrency, containerization, and more. In The Well-Grounded Java Developer, Second Edition you will learn: The new Java module system and why you should use it Bytecode for the JVM, including operations and classloading Performance tuning the JVM Working with Java’s built-in concurrency and expanded options Programming in Kotlin and Clojure on the JVM Maximizing the benefits from your build/CI tooling with Maven and Gradle Running the JVM in containers Planning for future JVM releases The Well-Grounded Java Developer, Second Edition introduces both the modern innovations and timeless fundamentals you need to know to become a Java master. Authors Ben Evans, Martijn Verburg, and Jason Clark distill their decades of experience as Java Champions, veteran developers, and key contributors to the Java ecosystem into this clear and practical guide. You’ll discover how Java works under the hood and learn design secrets from Java’s long history. Each concept is illustrated with hands-on examples, including a fully modularized application/library and creating your own multithreaded application. Foreword by Heinz Kabutz. About the technology Java is the beating heart of enterprise software engineering. Developers who really know Java can expect easy job hunting and interesting work. Written by experts with years of boots-on-the-ground experience, this book upgrades your Java skills. It dives into powerful features like modules and concurrency models and even reveals some of Java’s deep secrets. About the book With The Well-Grounded Java Developer, Second Edition you will go beyond feature descriptions and learn how Java operates at the bytecode level. Master high-value techniques for concurrency and performance optimization, along with must-know practices for build, test, and deployment. You’ll even look at alternate JVM languages like Kotlin and Clojure. Digest this book and stand out from the pack. What's inside The new Java module system Performance tuning the JVM Maximizing CI/CD with Maven and Gradle Running the JVM in containers Planning for future JVM releases About the reader For intermediate Java developers. About the author Benjamin J. Evans is a senior principal engineer at Red Hat. Martijn Verburg is the principal SWE manager for Microsoft’s Java Engineering Group. Both Benjamin and Martijn are Java Champions. Jason Clark is a principal engineer and architect at New Relic. Table of Contents PART 1 - FROM 8 TO 11 AND BEYOND! 1 Introducing modern Java 2 Java modules 3 Java 17 PART 2 - UNDER THE HOOD 4 Class files and bytecode 5 Java concurrency fundamentals 6 JDK concurrency libraries 7 Understanding Java performance PART 3 - NON-JAVA LANGUAGES ON THE JVM 8 Alternative JVM languages 9 Kotlin 10 Clojure: A different view of programming PART 4 - BUILD AND DEPLOYMENT 11 Building with Gradle and Maven 12 Running Java in containers 13 Testing fundamentals 14 Testing beyond JUnit PART 5 - JAVA FRONTIERS 15 Advanced functional programming 16 Advanced concurrent programming 17 Modern internals 18 Future Java |
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