Description
Book SynopsisThis textbook surveys the knowledge base in automated and resilient cyber deception. It features four major parts: cyber deception reasoning frameworks, dynamic decision-making for cyber deception, network-based deception, and malware deception.
An important distinguishing characteristic of this book is its inclusion of student exercises at the end of each chapter. Exercises include technical problems, short-answer discussion questions, or hands-on lab exercises, organized at a range of difficulties from easy to advanced,.
This is a useful textbook for a wide range of classes and degree levels within the security arena and other related topics. It’s also suitable for researchers and practitioners with a variety of cyber security backgrounds from novice to experienced.
Table of Contents1 Using Deep Learning to Generate Relational HoneyData.- 2 Towards Intelligent Cyber Deception Systems.- 3 Honeypot Deception Tactics.- 4 Modeling and Analysis of Deception Games based on Hypergame Theory.- 5 Dynamic Bayesian Games for Adversarial and Defensive Cyber Deception.- 6 CONCEAL: A Strategy Composition for Resilient Cyber Deception - Framework, Metrics and Deployment.- 7 NetShifter - A Comprehensive Multi-Dimensional Network Obfuscation and Deception Solution.- 8 Deception-Enhanced Threat Sensing for Resilient Intrusion Detection.- 9 HONEYSCOPE: IoT Device Protection with Deceptive Network Views.- 10 gExtractor: Automated Extraction of Malware Deception Parameters for Autonomous Cyber Deception.- 11 Malware Deception with Automatic Analysis and Generation of HoneyResource.
