Open Source Intelligence and Cyber Crime

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Beschreibung

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.[...].

Zusammenfassung

Includes research results with important implications for law enforcement agencies and intelligence services

Provides graduate students with the fundamental research problems of the social media and open source intelligence field

Introduces real-world datasets and presents recent trends in this active research area

Inhaltsverzeichnis

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.

Details

Erscheinungsjahr:	2021
Genre:	Informatik , Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	v 251 S. 19 s/w Illustr. 69 farbige Illustr. 251 p. 88 illus. 69 illus. in color.
ISBN-13:	9783030412531
ISBN-10:	3030412539
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Redaktion:	Tayebi, Mohammad A. Skillicorn, David B. Glässer, Uwe
Herausgeber:	Mohammad A Tayebi/Uwe Glässer/David B Skillicorn
Auflage:	1st edition 2020
Hersteller:	Springer International Publishing
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	235 x 155 x 15 mm
Von/Mit:	Mohammad A. Tayebi (u. a.)
Erscheinungsdatum:	02.08.2021
Gewicht:	0,4 kg