Description: Automating Open Source Intelligence : Algorithms for OSINT, Paperback by Layton, Robert (EDT); Watters, Paul A. (EDT), ISBN 0128029161, ISBN-13 9780128029169, Brand New, Free shipping in the US
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.
Th 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 underground and predicting crime through OSINT
- Discusses the ethical considerations when using publicly available online data
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Book Title: Automating Open Source Intelligence : Algorithms for OSINT
Item Length: 9.2in
Item Width: 7.5in
Author: Robert Layton, Paul A. Watters
Publication Name: Automating Open Source Intelligence : Algorithms for Osint
Format: Trade Paperback
Language: English
Publisher: Elsevier Science & Technology Books
Publication Year: 2015
Type: Textbook
Number of Pages: 222 Pages
