Autonomous Cyber Deception Reasoning, Adaptive Planning, and Evaluation of HoneyThings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Al-Shaer, Ehab (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Wei, Jinpeng (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Hamlen, Kevin W. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Wang, Cliff (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Data protection.; Computer communication systems.; Artificial intelligence.; Application software.; Security.; Computer Communication Networks.; Artificial Intelligence.; Information Systems Applications (incl. Internet).

 This 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. 

 1 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.