Automating Open Source Intelligence: Algorithms for OSINT

by Robert Layton, Paul A Watters

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.

222 pages, Paperback

First published November 29, 2015

Reviews

[ali]

horror movie and book catharsis stopped working, and i had to find something other than the psycho girl in The 8 Show to fixate on. so i ‘decided’ to dive into OSINT,, twelve mental breakdowns over the last three days and the subsequent erasure of most my social medias later, i've realized it's time to return to Effed Up Movies dot com. this shit is not for me.

[Eric · Rating 2 out of 5]

I didn't learn anything very illuminating. Very high level and general concepts, with too few concrete solutions.

[Chris Kubecka · Rating 5 out of 5]

Good stuff, well laid out and well written.