Autonomous cyber deception : reasoning, adaptive planning, and evaluation of HoneyThings /

Autonomous cyber deception : reasoning, adaptive planning, and evaluation of HoneyThings /

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Bibliographic Details
Author / Creator:Al-Shaer, Ehab S., 1967- author.
Imprint:Cham, Switzerland : Springer, 2019.
Description:1 online resource (xvi, 235 pages) : illustrations (some color)
Language:English
Subject:
Computer security.
Computer networks -- Security measures.
Computer networks -- Security measures.
Computer security.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11781038
Hidden Bibliographic Details
Other authors / contributors:Wei, Jinpeng, author.
Hamlen, Kevin, author.
Wang, Cliff, author.
ISBN:9783030021108
3030021106
9783030021092
3030021092
9783030021092
9783030021115
3030021114
Digital file characteristics:text file PDF
Notes:Online resource; title from PDF title page (SpringerLink, viewed January 17, 2019).
Summary: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.
Other form:Printed edition: 9783030021092
Printed edition: 9783030021115
Standard no.:10.1007/978-3-030-02110-8

MARC

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505 0 |a 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. 
520 |a 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. 
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