Cyber Deception

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Details

This edited volume features a wide spectrum of the latest computer science research relating to cyber deception. Specifically, it features work from the areas of artificial intelligence, game theory, programming languages, graph theory, and more. The work presented in this book highlights the complex and multi-facted aspects of cyber deception, identifies the new scientific problems that will emerge in the domain as a result of the complexity, and presents novel approaches to these problems.
This book can be used as a text for a graduate-level survey/seminar course on cutting-edge computer science research relating to cyber-security, or as a supplemental text for a regular graduate-level course on cyber-security.


Features chapters written by leading experts in the field Proposes new scientific methods to address many of the practical problems of cyber deception Provides a thorough scientific foundation for the field of cyber deception Includes military and policy dimensions not typically covered in cyber-security books Includes supplementary material: sn.pub/extras

Autorentext
Sushil Jajodia is University Professor, BDM International Professor, and the founding director of Center for Secure Information Systems in the Volgenau School of Engineering at the George Mason University, Fairfax, Virginia. His research interests include security, privacy, databases, and distributed systems. He is an IEEE fellow and a recipient of several awards including 2016 IEEE Computer Society Technical Achievement Award. His h-index is 90 and Erdos number is 2.V.S. Subrahmanian is Professor of Computer Science and Director of the Lab for Computational Cultural Dynamics and Director of the Center for Digital International Government at the University of Maryland. He is one of the world leaders in the development of both theoretical and practical, data-driven logical, probabilistic, and statistical methods to infer predictive models from diverse types of data sources and then using those predictive models to optimize one or more desired user/application goals.Vipin Swarup is the Chief Scientist for Cyber Security in MITRE's Cyber Security Technical Center. He leads MITRE's corporate cybersecurity research program which includes research projects in cyber analytics, active cyber defense, mobile computing security, embedded and cyber-physical systems security, and cyber resiliency. He is the recipient of MITRE's first Technology Transfer Individual Contribution Award for entrepreneurial leadership and success in transferring MITRE innovations to the government and industry. Cliff Wang is the program director at US Army Research Office, managing a large portfolio of university research. He is also appointed as an adjunct professor at North Carolina State University. Dr. Wang is a fellow of IEEE.


Inhalt
Integrating Cyber-D&D into Adversary Modeling for Active Cyber Defense.- Cyber Security Deception.- Quantifying Covertness in Deceptive Cyber Deception.- Design Considerations for Building Cyber Deception Systems.- A Proactive and Deceptive Perspective for Role Detection and Concealment in Wireless Networks.- Effective Cyber Deception.- Cyber-Deception and Attribution in Capture-the-Flag Exercises.- Deceiving Attackers by Creating a Virtual Attack Surface.- Embedded Honeypotting.- Agile Virtual Infrastructure for Cyber Deception Against Stealthy DDoS Attacks.- Exploring Malicious Hacker Forums.- Anonymity in an electronic Society: A Survey.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319813493
    • Editor Sushil Jajodia, Cliff Wang, Vipin Swarup, V. S. Subrahmanian
    • Sprache Englisch
    • Auflage Softcover reprint of the original 1st edition 2016
    • Größe H235mm x B155mm x T18mm
    • Jahr 2018
    • EAN 9783319813493
    • Format Kartonierter Einband
    • ISBN 3319813498
    • Veröffentlichung 31.05.2018
    • Titel Cyber Deception
    • Untertitel Building the Scientific Foundation
    • Gewicht 493g
    • Herausgeber Springer International Publishing
    • Anzahl Seiten 324
    • Lesemotiv Verstehen
    • Genre Informatik

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