Automating Open Source Intelligence

Algorithms for OSINT

By: Robert Layton, Paul Watters

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Paperback | 23 December 2015 | Edition Number 1

At a Glance

Paperback
222 Pages

Dimensions(cm)
23.1 x 18.7 x 1.1

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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

Industry 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

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