Open Source Intelligence and Cyber Crime : Social Media Analytics /

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 com...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Tayebi, Mohammad A. (Editor), Glässer, Uwe (Editor), Skillicorn, David B. (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:Lecture Notes in Social Networks,
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary: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.
Physical Description:1 online resource (V, 251 pages 88 illustrations, 69 illustrations in color.)
ISBN:9783030412517
ISSN:2190-5436
DOI:10.1007/978-3-030-41251-7