Open Source Intelligence and Cyber Crime

£69.99

Open Source Intelligence and Cyber Crime

Social Media Analytics

Cybernetics and systems theory Computer crime, cybercrime Data mining Computer security Network security Artificial intelligence Expert systems / knowledge-based systems Machine learning

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Collection: Lecture Notes in Social Networks

Language: English

Published by: Springer

Published on: 31st July 2020

Format: LCP-protected ePub

Size: 33 Mb

ISBN: 9783030412517


Introduction

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.

Open Access Chapter

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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