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Automating Open Source Intelligence : Algorithms for OSINT by Robert Layton and Paul A. Watters (2015, Trade Paperback)
Once Upon a Time Books Inc (345254)
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- Buy It NowAutomating Open Source Intelligence: Algorithms for OSINT (Computer Science Revi
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About this product
Product Identifiers
PublisherElsevier Science & Technology Books
ISBN-100128029161
ISBN-139780128029169
eBay Product ID (ePID)217026195
Product Key Features
Number of Pages222 Pages
Publication NameAutomating Open Source Intelligence : Algorithms for Osint
LanguageEnglish
Publication Year2015
SubjectExpert Systems, Intelligence (Ai) & Semantics, Intelligence & Espionage, Security / General
TypeTextbook
AuthorRobert Layton, Paul A. Watters
Subject AreaPolitical Science, Computers
FormatTrade Paperback
Dimensions
Item Length9.2 in
Item Width7.5 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2017-288169
Reviews"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, Automating Open Source Intelligence, "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, Automating Open Source Intelligence, "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
Dewey Edition23
IllustratedYes
Dewey Decimal327.120285
Table Of ContentCh 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
SynopsisAlgorithms 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, 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.
LC Classification NumberJF1525.I6
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