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Open Source Intelligence and Cyber Crime = Social Media Analytics /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Open Source Intelligence and Cyber Crime/ edited by Mohammad A. Tayebi, Uwe Glässer, David B. Skillicorn.
Reminder of title:	Social Media Analytics /
other author:	Tayebi, Mohammad A.
Description:	V, 251 p. 88 illus., 69 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computer security. -
Online resource:	https://doi.org/10.1007/978-3-030-41251-7
ISBN:	9783030412517

Open Source Intelligence and Cyber Crime = Social Media Analytics /
Open Source Intelligence and Cyber CrimeSocial Media Analytics /[electronic resource] :edited by Mohammad A. Tayebi, Uwe Glässer, David B. Skillicorn. - 1st ed. 2020. - V, 251 p. 88 illus., 69 illus. in color.online resource. - Lecture Notes in Social Networks,2190-5428. - Lecture Notes in Social Networks,.

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.

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.

ISBN: 9783030412517

Standard No.: 10.1007/978-3-030-41251-7doiSubjects--Topical Terms:

557122
Computer security.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Open Source Intelligence and Cyber Crime = Social Media Analytics /
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