Open Source Intelligence and Cyber Crime: Social Media Analytics

  • 5h 16m
  • David B. Skillicorn, Mohammad A. Tayebi, Uwe Glässer
  • Springer
  • 2020

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.

In this Book

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

YOU MIGHT ALSO LIKE

Course Information Security for Leaders: Elements of InfoSec
Rating 4.6 of 5 users Rating 4.6 of 5 users (5)
Book Collaborative Approaches for Cyber Security in Cyber-Physical Systems
Course Prompt Engineering: Generative AI for Malware & Social Engineering
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)