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010 a| 2021031984;

020 a| 9781119723929q| (hardback);

020 z| 9781119723912q| (adobe pdf);

020 z| 9781119723943q| (epub);

035 a| (WaSeSS)ssj0002508907;

040 a| DLCb| engc| DLCd| WaSeSS;

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050 00 a| TK5105.59b| .G353 2021;

082 00 a| 658.4/782| 23;

245 00 a| Game theory and machine learning for cyber securityh| [electronic resource] /c| [edited by] Charles A Kamhoua, Christopher D Kiekintveld, Fei Fang, Quanyan Zhu.;

250 a| First edition.;

260 a| Hoboken, New Jersey :b| John Wiley & Sons, Inc.,c| [2021];

263 a| 2111;

300 a| pages cm;

504 a| Includes bibliographical references and index.;

505 2 a| 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.;

506 a| Available only to authorized users.;

520 a| "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"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Computer networksx| Security measures.=| ^A388828;

650 0 a| Game theory.=| ^A2161;

650 0 a| Machine learning.=| ^A145211;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Kamhoua, Charles A.?| UNAUTHORIZED;

700 1 a| Kiekintveld, Christopher D.?| UNAUTHORIZED;

700 1 a| Fang, Fei,d| 1989-?| UNAUTHORIZED;

700 1 a| Zhu, Quanyan.?| UNAUTHORIZED;

856 40 z| Full text available from eBooks on EBSCOhostu| https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3025087&scope=site&custid=s5822723&authtype=ip,shib;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6758706-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 7/17/2026x| EBOOKz| JERESOURCE;

Game theory and machine learning for cyber security / [edited by] Charles A Kamhoua, Christopher D Kiekintveld, Fei Fang, Quanyan Zhu.

Format	Electronic
Edition	First edition.
Publication Info	Hoboken, New Jersey : John Wiley & Sons, Inc., [2021]
Description	pages cm
Supplemental Content	Full text available from eBooks on EBSCOhost
Subjects	Computer networks--Security measures. Game theory. Machine learning.

Other author/creator	Kamhoua, Charles A.
Other author/creator	Kiekintveld, Christopher D.
Other author/creator	Fang, Fei, 1989-
Other author/creator	Zhu, Quanyan.
Partial contents	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.
Abstract	"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"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2021031984
ISBN	9781119723929 (hardback)
ISBN	(adobe pdf)
ISBN	(epub)

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Game theory and machine learning for cyber security / [edited by] Charles A Kamhoua, Christopher D Kiekintveld, Fei Fang, Quanyan Zhu.

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