Includes bibliographical references and index.

"The goal of this monograph is to convey a picture of the Dark Web environment, suggest a methodical, computational approach to comprehending the difficulties, and define tactics and solutions, providing researchers, security professionals, counter-terrorism specialists, and strategy developers with useful information"-- Provided by publisher.

Section 1. Traffic analysis and network management. Chapter 1. Darknet traffic analysis and network management for malicious intent detection by neural network frameworks ; Chapter 2. Information system for cyber threat detection using K-NN classification model ; Chapter 3. Structure analysis of tor hidden services using DOM-inspired graphs -- Section 2. Models for crime prediction. Chapter 4. Time-series models for crime prediction in India: an empirical comparison ; Chapter 5. Variational autoencoder for IoT botnet detection ; Chapter 6. Cyber security for IoT-enabled industry 4.0: systematic review for dark web environments -- Section 3. Anomaly detection using artificial intelligence and machine learning algorithms. Chapter 7. Artifical intelligence and machine learning algorithms in dark web crime recognition ; Chapter 8. Detection of cyber crime based on facial pattern enhancement using machine learning and image processing techniques ; Chapter 9. Anomaly detection in biometric authentication dataset using recurrent neural networks -- Section 4. Content labeling for hidden services using keyword extraction. Chapter 10. Content labelling of hidden services with keyword extraction using the graph decomposition method ; Chapter 11. Tapering malicious language for identifying fake web content ; Chapter 12. Cyber security event sentence detection from news articles based on trigger and argument -- Section 5. Assessment of dark web threat evolution. Chapter 13. Systematic approach for detection and assessment of dark web threat evolution ; Chapter 14. Enthusiastic cyber surveillance for intimidation comprehension on the dark web and the deep web ; Chapter 15. Anonymous trading on the dark online marketplace: an exploratory study.

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