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Automating Open Source Intelligence
Algorithms for OSINT
This book provides the state-of-the-art on the algorithms necessary for open source intelligence gathering, presenting information on the extraction of actionable intelligence from openly available sources, including news broadcasts, public repositories, and more recently, social media.
Robert Layton (Author), Paul A Watters (Author)
9780128029169, Elsevier Science
Paperback, published 10 December 2015
222 pages
23.5 x 19 x 1.5 cm, 0.45 kg
"Each chapter can stand alone, but together they give an accurate view of the current situation - it's a good mix of theory and practice(s)…an interesting read for researchers and digital investigators...an eye-opening one for Internet users in general..." --Help Net Security
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.
Ch 1. Introduction to OSINT Ch 2. Advances in Automated OSINT Ch 3. Named Entity Resolution in Social Media Ch 4. Relative Cyberattack Attribution Ch 5. Evidence Accumulation Strategies for OSINT Ch 6. Analyzing Social Media Campaigns for Group Size Estimation Ch 7. Crawling the Dark Web Ch 8. Case Study: The Digital Underground Ch 9. Graph Creation and Analysis for Linking Actors Ch 10. Case Study Predicting Crime with OSINT Ch 11. Ethical Considerations w/Public Data Ch 12: Limitations of automating OSINT Ch 13. Geospatial Reasoning of Open Data Ch 14: Future Trends
Subject Areas: Information architecture [UYZM], Expert systems / knowledge-based systems [UYQE], Artificial intelligence [UYQ], Computer security [UR]
