Game theory and machine learning for cyber security
by Fang, Fei Kamhoua, Charles A. Kiekintveld, Christopher D. Zhu, Quanyan
Introduction to game theory / Fei Fang, Shutian Liu, Anjon Basak, Quanyan Zhu, Christopher Kiekintveld, Charles A. Kamhoua -- 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 -- Honeypot allocation game over attack graphs for cyber deception / Ahmed H. Anwar, Charles Kamhoua, Nandi Leslie, Christopher Kiekintveld. "Cyber security is a…
Read More ↓Title Statements
- Full title :Game theory and machine learning for cyber security / edited by Charles A Kamhoua, Christopher D. Kiekintveld, Fei Fang, Quanyan Zhu.
Summary
Introduction to game theory / Fei Fang, Shutian Liu, Anjon Basak, Quanyan Zhu, Christopher Kiekintveld, Charles A. Kamhoua -- 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 -- Honeypot allocation game over attack graphs for cyber deception / Ahmed H. Anwar, Charles Kamhoua, Nandi Leslie, Christopher Kiekintveld.
"Cyber security is a serious concern to our economic prosperity and national security. Despite an increased investment in cyber defense, cyber-attackers are becoming more creative and sophisticated. This exposes the need for a more rigorous approach to cyber security, including methods from artificial intelligence including computational game theory and machine learning. Recent advances in adversarial machine learning are promising to make artificial intelligence (AI) algorithms more robust to deception and intelligent manipulation. However, they are still vulnerable to adversarial inputs, data poisoning, model stealing and evasion attacks. The above challenges and the high risk and consequence of cyber-attacks drive the need to accelerate basic research on cyber security"
Edition Statements
- Publication Date:2021
Publication Statements
- Publisher(s):IEEE-Press, Wiley
- Place of Publication:Hoboken, New Jersey
- Language:eng
- Publication Date:2021
Notes
Includes bibliographical references and index.
The Physical Object
- Description:xxx, 510 Seiten
Edition Identifiers
- ISBN:9781119723929, 1119723922
- oclc:on1285357016
- LC Classification:TK5105.59
- Dewey Decimal:658.4/78
Subjects
Writers
No reviews yet. Be the first to rate this work.
Related Works
more →
Combinatorial games
Analytic narratives
Logic and games on automatic structures: playing with quantifiers and decomposit…
Kaiser, Łukasz
Handbook of cliometrics
Combinatorial Game Theory
Files & Downloads
-
Game Theory and Machine Learning for Cyber Securi…
PDF · 13.5 MB · updated -
Game Theory and Machine Learning for Cyber Securi…
PDF · 14.5 MB · updated
Rate & Review