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Game Theory and Machine Learning for Cyber Security, Hardcover by Kamhoua, Ch...
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Item specifics
- Condition
- Book Title
- Game Theory and Machine Learning for Cyber Security
- ISBN
- 9781119723929
About this product
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1119723922
ISBN-13
9781119723929
eBay Product ID (ePID)
15050089280
Product Key Features
Number of Pages
544 Pages
Publication Name
Game Theory and Machine Learning for Cyber Security
Language
English
Publication Year
2021
Subject
General, Telecommunications
Type
Textbook
Subject Area
Mathematics, Technology & Engineering
Format
Hardcover
Dimensions
Item Height
0.4 in
Item Weight
16 Oz
Item Length
0.4 in
Item Width
0.4 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2021-031984
Dewey Edition
23
Dewey Decimal
005.8
Table Of Content
Editor biographies Contributors Foreword Preface Chapter 1: Introduction Christopher D. Kiekintveld, Charles A. Kamhoua, Fei Fang, Quanyan Zhu Part 1: Game Theory for Cyber Deception Chapter 2: Introduction to Game Theory Fei Fang, Shutian Liu, Anjon Basak, Quanyan Zhu, Christopher Kiekintveld, Charles A. Kamhoua Chapter 3: Scalable Algorithms for Identifying Stealthy Attackers in a Game Theoretic Framework Using Deception Anjon Basak, Charles Kamhoua, Sridhar Venkatesan, Marcus Gutierrez, Ahmed H. Anwar, Christopher Kiekintveld Chapter 4: Honeypot Allocation Game over Attack Graphs for Cyber Deception Ahmed H. Anwar, Charles Kamhoua, Nandi Leslie, Christopher Kiekintveld Chapter 5: Evaluating Adaptive Deception Strategies for Cyber Defense with Human Experimentation Palvi Aggarwal, Marcus Gutierrez, Christopher Kiekintveld, Branislav Bosansky, Cleotilde Gonzalez Chapter 6: A Theory of Hypergames on Graphs for Synthesizing Dynamic Cyber Defense with Deception Jie Fu, Abhishek N. Kulkarni Part 2: Game Theory for Cyber Security Chapter 7: Minimax Detection (MAD) for Computer Security: A Dynamic Program Characterization Muhammed O. Sayin, Dinuka Sahabandu, Muhammad Aneeq uz Zaman, Radha Poovendran, Tamer Basar Chapter 8: Sensor Manipulation Games in Cyber Security João P. Hespanha Chapter 9: Adversarial Gaussian Process Regression in Sensor Networks Yi Li, Xenofon Koutsoukos, Yevgeniy Vorobeychik Chapter 10: Moving Target Defense Games for Cyber Security: Theory and Applications Abdelrahman Eldosouky, Shamik Sengupta Chapter 11: Continuous Authentication Security Games Serkan Saritas, Ezzeldin Shereen, Henrik Sandberg, Gyorgy Dan Chapter 12: Cyber Autonomy in Software Security: Techniques and Tactics Tiffany Bao, Yan Shoshitaishvili Part 3: Adversarial Machine Learning for Cyber Security Chapter 13: A Game Theoretic Perspective on Adversarial Machine Learning and Related Cybersecurity Applications Yan Zhou, Murat Kantarcioglu, Bowei Xi Chapter 14: Adversarial Machine Learning in 5G Communications Security Yalin Sagduyu, Tugba Erpek, Yi Shi Chapter 15: Machine Learning in the Hands of a Malicious Adversary: A Near Future If Not Reality Keywhan Chung, Xiao Li, Peicheng Tang, Zeran Zhu, Zbigniew T. Kalbarczyk, Thenkurussi Kesavadas, Ravishankar K. Iyer Chapter 16: Trinity: Trust, Resilience and Interpretability of Machine Learning Models Susmit Jha, Anirban Roy, Brian Jalaian, Gunjan Verma Part 4: Generative Models for Cyber Security Chapter 17: Evading Machine Learning based Network Intrusion Detection Systems with GANs Bolor-Erdene Zolbayar, Ryan Sheatsley, Patrick McDaniel, Mike Weisman Chapter 18: Concealment Charm (ConcealGAN): Automatic Generation of Steganographic Text using Generative Models to Bypass Censorship Nurpeiis Baimukan, Quanyan Zhu Part 5: Reinforcement Learning for Cyber Security Chapter 19: Manipulating Reinforcement Learning: Stealthy Attacks on Cost Signals Yunhan Huang, Quanyan Zhu Chapter 20: Resource-Aware Intrusion Response based on Deep Reinforcement Learning for Software-Defined Internet-of-Battle-Things Seunghyun Yoon, Jin-Hee Cho, Gaurav Dixit, Ing-Ray Chen Part 6: Other Machine Learning approach to Cyber Security Chapter 21: Smart Internet Probing: Scanning Using Adaptive Machine Learning Armin Sarabi, Kun Jin, Mingyan Liu Chapter 22: Semi-automated Parameterization of a Probabilistic Model using Logistic Regression - A Tutorial Stefan Rass, Sandra König, Stefan Schauer Chapter 23: Resilient Distributed Adaptive Cyber-Defense using Blockchain George Cybenko, Roger A. Hallman Chapter 24: Summary and Future Work Quanyan Zhu, Fei Fang
Synopsis
GAME THEORY AND MACHINE LEARNING FOR CYBER SECURITY Move beyond the foundations of machine learning and game theory in cyber security to the latest research in this cutting-edge field In Game Theory and Machine Learning for Cyber Security , a team of expert security researchers delivers a collection of central research contributions from both machine learning and game theory applicable to cybersecurity. The distinguished editors have included resources that address open research questions in game theory and machine learning applied to cyber security systems and examine the strengths and limitations of current game theoretic models for cyber security. Readers will explore the vulnerabilities of traditional machine learning algorithms and how they can be mitigated in an adversarial machine learning approach. The book offers a comprehensive suite of solutions to a broad range of technical issues in applying game theory and machine learning to solve cyber security challenges. Beginning with an introduction to foundational concepts in game theory, machine learning, cyber security, and cyber deception, the editors provide readers with resources that discuss the latest in hypergames, behavioral game theory, adversarial machine learning, generative adversarial networks, and multi-agent reinforcement learning. Readers will also enjoy: A thorough introduction to game theory for cyber deception, including scalable algorithms for identifying stealthy attackers in a game theoretic framework, honeypot allocation over attack graphs, and behavioral games for cyber deception An exploration of game theory for cyber security, including actionable game-theoretic adversarial intervention detection against advanced persistent threats Practical discussions of adversarial machine learning for cyber security, including adversarial machine learning in 5G security and machine learning-driven fault injection in cyber-physical systems In-depth examinations of generative models for cyber security Perfect for researchers, students, and experts in the fields of computer science and engineering, Game Theory and Machine Learning for Cyber Security is also an indispensable resource for industry professionals, military personnel, researchers, faculty, and students with an interest in cyber security.
LC Classification Number
QA76.9.A25
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- c***m (423)- Feedback left by buyer.Past 6 monthsVerified purchaseAAA+++; Excellent Service; Great Pricing; Fast Delivery-Faster Than Expected to Hawaii using free shipping USPS Ground Mail, Received 06/18; Paperback book in Great Condition as Described ; TLC Packaging; Excellent Seller Communication, Sends updates . Highly Recommended!, Thank you very much!
- l***1 (1491)- Feedback left by buyer.Past yearVerified purchaseGreat seller; book exactly as described in mint condition sold at a reasonable price; seller shipped item FAST, FREE and with tracking information, a must nowadays; seller shipped in tight, cardboard mailing envelope, which tightly fit over the book, preventing damage in shipment; good communication too; rate seller 10+++++Cuentos de La Habana Elegante, Brand New, Free shipping in the US (#364594098367)
- c***t (921)- Feedback left by buyer.Past 6 monthsVerified purchaseThe book I bought was reasonably priced and when it arrived it was in the 'Like New' condition specified in the listing. However, when I saw that the seller had not shipped the book after more than 15 days had passed since my order I felt I must write to say that I had actually placed an order with the seller and inquire when it planned to send the book. The brusque reply was that a tracking number was available, but no number HAD been created until I pointed out that I had placed the order.Catland by Hughes, Kathryn, Like New Used, Free shipping in the US (#356798982438)
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Seller Feedback (386,352)
- c***m (423)- Feedback left by buyer.Past 6 monthsVerified purchaseAAA+++; Excellent Service; Great Pricing; Fast Delivery-Faster Than Expected to Hawaii using free shipping USPS Ground Mail, Received 06/18; Paperback book in Great Condition as Described ; TLC Packaging; Excellent Seller Communication, Sends updates . Highly Recommended!, Thank you very much!
- l***1 (1491)- Feedback left by buyer.Past yearVerified purchaseGreat seller; book exactly as described in mint condition sold at a reasonable price; seller shipped item FAST, FREE and with tracking information, a must nowadays; seller shipped in tight, cardboard mailing envelope, which tightly fit over the book, preventing damage in shipment; good communication too; rate seller 10+++++Cuentos de La Habana Elegante, Brand New, Free shipping in the US (#364594098367)
- c***t (921)- Feedback left by buyer.Past 6 monthsVerified purchaseThe book I bought was reasonably priced and when it arrived it was in the 'Like New' condition specified in the listing. However, when I saw that the seller had not shipped the book after more than 15 days had passed since my order I felt I must write to say that I had actually placed an order with the seller and inquire when it planned to send the book. The brusque reply was that a tracking number was available, but no number HAD been created until I pointed out that I had placed the order.Catland by Hughes, Kathryn, Like New Used, Free shipping in the US (#356798982438)