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· 분류 : 외국도서 > 기술공학 > 기술공학 > 텔레커뮤니케이션
· ISBN : 9781119723929
· 쪽수 : 544쪽
· 출판일 : 2021-09-15
목차
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 Başar
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
