Automating Open Source Intelligence: algorithms for OSINT

Robert Layton* (Editor), Paul A. Watters (Editor)

*Corresponding author for this work

Research output: Book/ReportEdited Book/Anthologypeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
PublisherElsevier
Number of pages211
ISBN (Print)9780128029169
DOIs
Publication statusPublished - 2016
Externally publishedYes

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