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Adaptive Autonomous Secure Cyber Systems

  • Sushil Jajodia
  • George Cybenko
  • V.S. Subrahmanian
  • Vipin Swarup
  • Cliff Wang
  • Michael Wellman
Book
  • 1.3k Downloads

Table of contents

  1. Front Matter
    Pages i-x
  2. Paul Theron, Alexander Kott, Martin Drašar, Krzysztof Rzadca, Benoît LeBlanc, Mauno Pihelgas et al.
    Pages 1-21
  3. Erik Hemberg, Linda Zhang, Una-May O’Reilly
    Pages 41-61
  4. Sridhar Venkatesan, Shridatt Sugrim, Jason A. Youzwak, Cho-Yu J. Chiang, Ritu Chadha
    Pages 89-107
  5. Tao Hou, Tao Wang, Dakun Shen, Zhuo Lu, Yao Liu
    Pages 109-129
  6. Mohammed Noraden Alsaleh, Ehab Al-Shaer
    Pages 131-157
  7. Yevgeniy Vorobeychik, Michael Pritchard
    Pages 159-182
  8. Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang, Milind Tambe, Phebe Vayanos
    Pages 183-204
  9. Marcus Gutierrez, Christopher Kiekintveld
    Pages 231-251
  10. Jiwon Hong, Taeri Kim, Jing Liu, Noseong Park, Sang-Wook Kim
    Pages 253-267
  11. Xinda Wang, Kun Sun, Archer Batcheller, Sushil Jajodia
    Pages 269-289

About this book

Introduction

This book explores fundamental scientific problems essential for autonomous cyber defense. Specific areas include:

  • Game and control theory-based moving target defenses (MTDs) and adaptive cyber defenses (ACDs) for fully autonomous cyber operations;
  • The extent to which autonomous cyber systems can be designed and operated in a framework that is significantly different from the human-based systems we now operate;
  • On-line learning algorithms, including deep recurrent networks and reinforcement learning, for the kinds of situation awareness and decisions that autonomous cyber systems will require;
  • Human understanding and control of highly distributed autonomous cyber defenses;
  • Quantitative performance metrics for the above so that autonomous cyber defensive agents can reason about the situation and appropriate responses as well as allowing humans to assess and improve the autonomous system.

This book establishes scientific foundations for adaptive autonomous cyber systems and ultimately brings about a more secure and reliable Internet. The recent advances in adaptive cyber defense (ACD) have developed a range of new ACD techniques and methodologies for reasoning in an adaptive environment.

Autonomy in physical and cyber systems promises to revolutionize cyber operations. The ability of autonomous systems to execute at scales, scopes, and tempos exceeding those of humans and human-controlled systems will introduce entirely new types of cyber defense strategies and tactics, especially in highly contested physical and cyber environments. The development and automation of cyber strategies that are responsive to autonomous adversaries pose basic new technical challenges for cyber-security.

This book targets cyber-security professionals and researchers (industry, governments, and military). Advanced-level students in computer science and information systems will also find this book useful as a secondary textbook.

Keywords

Cyber security adaptive cyber defense cyber attacks cyber defense network security autonomous systems science of security game theory Autonomic computing Cyber deception machine learning programming languages graph theory Adversarial artificial intelligence Generative adversarial networks Quantitative performance metrics Deep learning

Editors and affiliations

  • Sushil Jajodia
    • 1
  • George Cybenko
    • 2
  • V.S. Subrahmanian
    • 3
  • Vipin Swarup
    • 4
  • Cliff Wang
    • 5
  • Michael Wellman
    • 6
  1. 1.Center for Secure Information SystemsGeorge Mason UniversityFairfaxUSA
  2. 2.Thayer School of EngineeringDartmouth CollegeHanoverUSA
  3. 3.Department of Computer ScienceDartmouth CollegeHanoverUSA
  4. 4.MS T310MITRE CorporationMcLeanUSA
  5. 5.Computing and Information Science DivisionArmy Research OfficeDurhamUSA
  6. 6.Computer Science & EngineeringUniversity of MichiganAnn ArborUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-33432-1
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-33431-4
  • Online ISBN 978-3-030-33432-1
  • Buy this book on publisher's site