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:	Computer security. Computational intelligence. Sociophysics. Econophysics. Computer crimes. Data mining. Machine learning. Systems and Data Security. Computational Intelligence. Data-driven Science, Modeling and Theory Building. Cybercrime. Data Mining and Knowledge Discovery. Machine Learning. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Chapter1. Studying the Weaponization of Social Media: Case Studies of Anti-NATO Disinformation Campaigns
Chapter2. Cognitively-Inspired Inference for Malware Task Indentation
Chapter3. Beyond the 'Silk Road': Assessing Illicit Drug Marketplaces on the Public Web
Chapter4. Protecting the Web from Misinformation
Chapter5. Social Media for Mental Health: Data, Methods, and Findings
Chapter6. Twitter Bots and the Swedish Election
Chapter7. Automated Text Analysis for Intelligence Purposes: A Psychological Operations Case Study
Chapter8. You are Known by Your Friends: Leveraging Network Metrics for Bot Detection in Twitter
Chapter9. Inferring Systemic Nets with Applications to Islamist Forums.