Publications Combined Studies In Open Source Intelligence Osint And Information
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Publications Combined: Studies In Open Source Intelligence (OSINT) And Information
Over 1,600 total pages ... CONTENTS: AN OPEN SOURCE APPROACH TO SOCIAL MEDIA DATA GATHERING Open Source Intelligence – Doctrine’s Neglected Child (Unclassified) Aggregation Techniques to Characterize Social Networks Open Source Intelligence (OSINT): Issues for Congress A BURNING NEED TO KNOW: THE USE OF OPEN SOURCE INTELLIGENCE IN THE FIRE SERVICE Balancing Social Media with Operations Security (OPSEC) in the 21st Century Sailing the Sea of OSINT in the Information Age Social Media: Valuable Tools in Today‘s Operational Environment ENHANCING A WEB CRAWLER WITH ARABIC SEARCH CAPABILITY UTILIZING SOCIAL MEDIA TO FURTHER THE NATIONWIDE SUSPICIOUS ACTIVITY REPORTING INITIATIVE THE WHO, WHAT AND HOW OF SOCIAL MEDIA EXPLOITATION FOR A COMBATANT COMMANDER Open Source Cybersecurity for the 21st Century UNAUTHORIZED DISCLOSURE: CAN BEHAVIORAL INDICATORS HELP PREDICT WHO WILL COMMIT UNAUTHORIZED DISCLOSURE OF CLASSIFIED NATIONAL SECURITY INFORMATION? ATP 2-22.9 Open-Source Intelligence NTTP 3-13.3M OPERATIONS SECURITY (OPSEC) FM 2-22.3 HUMAN INTELLIGENCE COLLECTOR OPERATIONS
Open Source Intelligence Investigation
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 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