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
Contributors: Tayebi, Mohammad A. (Editor) ; Glässer, Uwe (Editor) ; Skillicorn, David B. (Editor)
Format: Electronic/Print Book
Language:English
Published: Cham Springer [2020]
In:Year: 2020
Online Access: Table of Contents
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Availability in Tübingen:Present in Tübingen.
UB: KB 21 A 901
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Keywords:
Aufsatzsammlung
Open Source > Information Retrieval > Data Mining > Netzwerkanalyse > Soziologie > Internetkriminalität > Bekämpfung
Related Items:Erscheint auch als: 1726030512
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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
Item Description: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
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
Physical Description:v, 251 Seiten Illustrationen, Diagramme 235 mm
ISBN:9783030412500
9783030412531
DOI:10.1007/978-3-030-41251-7