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Autonomous cyber deception = reasoni...
~
Al-Shaer, Ehab.
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Autonomous cyber deception = reasoning, adaptive planning, and evaluation of HoneyThings /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Autonomous cyber deception/ by Ehab Al-Shaer ... [et al.].
Reminder of title:
reasoning, adaptive planning, and evaluation of HoneyThings /
other author:
Al-Shaer, Ehab.
Published:
Cham :Springer International Publishing : : 2019.,
Description:
xvi, 235 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer eBooks
Subject:
Computer security. -
Online resource:
https://doi.org/10.1007/978-3-030-02110-8
ISBN:
9783030021108
Autonomous cyber deception = reasoning, adaptive planning, and evaluation of HoneyThings /
Autonomous cyber deception
reasoning, adaptive planning, and evaluation of HoneyThings /[electronic resource] :by Ehab Al-Shaer ... [et al.]. - Cham :Springer International Publishing :2019. - xvi, 235 p. :ill. (some col.), digital ;24 cm.
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.
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.
ISBN: 9783030021108
Standard No.: 10.1007/978-3-030-02110-8doiSubjects--Topical Terms:
540555
Computer security.
LC Class. No.: QA76.9.A25
Dewey Class. No.: 005.8
Autonomous cyber deception = reasoning, adaptive planning, and evaluation of HoneyThings /
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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.
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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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EB QA76.9.A25
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