Description
Book SynopsisThis book examines cyber threat intelligence obtained from the center of the malicious hacking underworld - the dark web. It studies these communities both qualitatively and quantitatively, leveraging techniques from data mining, machine learning and AI, and offering insights to both cybersecurity practitioners and researchers.
Trade Review'Darkweb Cyber Threat Intelligence Mining represents a tipping point in cyber security. It is a must-read for anyone involved in the modern cyber struggle.' George Cybenko, Dartmouth College, New Hampshire, from the Foreword
'The book is well written and well structured. The authors provide interesting facts on the darknet economy, its community, and its underling rules, such as trust-based platforms and the related problems of its participants.' Steffen Wendzel, Computing Reviews
Table of Contents1. Introduction; 2. Moving to proactive cyber threat intelligence; 3. Understanding darkweb malicious hacker forums; 4. Automatic mining of cyber intelligence from the dark web; 5. Analyzing products and vendors in malicious hacking markets; 6. Using game theory for threat intelligence; 7. Application – protecting industrial control systems; 8. Conclusion – the future of darkweb cyber threat intelligence.