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Open Source Intelligence and Cyber Crime : Social Media Analytics (1st ed. 2020)

Glasser, Uwe(Edited by)Skillicorn, David B.(Edited by)Tayebi, Mohammad A.(Edited by)
Part of the Lecture Notes in Social Networks series
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This book shows how open source intelligence can be a powerful tool for combating crime by linking local and global patterns to help understand how criminal activities are connected.

Readers will encounter the latest advances in cutting-edge data mining, machine learning and predictive analytics combined with natural language processing and social network analysis to detect, disrupt, and neutralize cyber and physical threats.

Chapters contain state-of-the-art social media analytics and open source intelligence research trends.

This multidisciplinary volume will appeal to students, researchers, and professionals working in the fields of open source intelligence, cyber crime and social network analytics.  Chapter Automated Text Analysis for Intelligence Purposes: A Psychological Operations Case Study is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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£55.99 Save 20.00%
RRP £69.99
Product Details
3030412539 / 9783030412531
Paperback / softback
005.8
02/08/2021
Switzerland
251 pages, 69 Illustrations, color; 19 Illustrations, black and white; V, 251 p. 88 illus., 69 illus
155 x 235 mm