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00000cam c22002058c 4500
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001
000005126932
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005
20231029204312
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007
ta
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008
230904s2021 us b 001c0 eng
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010
▼a 2021031984
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020
▼a 9781119723929
▼q (hardback) -
020
▼z 9781119723912
▼q (adobe pdf) -
035
▼a (KERIS)REF000019691954
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040
▼a DLC
▼b eng
▼c DLC
▼d 211070 -
042
▼a pcc
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050
▼a TK5105.59
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090
▼a TK5105.59
▼b K15 -
245
▼a Game theory and machine learning for cyber security /
▼d Charles A Kamhoua ,
▼e Christopher D Kiekintveld,
▼e Fei Fang,
▼e Quanyan Zhu -
260
▼a Hoboken, New Jersey :
▼b John Wiley & Sons, Inc.,
▼c [2021] -
300
▼a pages cm
-
504
▼a Includes bibliographical references and index
-
505
▼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.
-
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 -
650
▼a Computer networks
▼x Security measures -
650
▼a Game theory
-
650
▼a Machine learning
-
700
▼a Kamhoua, Charles A.,
▼e editor -
700
▼a Kiekintveld, Christopher D.,
▼e editor -
700
▼a Fang, Fei,
▼d 1989-,
▼e editor -
700
▼a Zhu, Quanyan,
▼e editor -
950
▼b $145.95
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991
▼a 단행본
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상세정보
Game theory and machine learning for cyber security
QR코드| 자료유형 : | 단행본 |
|---|---|
| ISBN : | 9781119723929 |
| ISBN : | |
| 분류기호 : | TK5105.59 |
| 서명/저자사항 : | Game theory and machine learning for cyber security / Charles A Kamhoua , Christopher D Kiekintveld, Fei Fang, Quanyan Zhu |
| 발행사항 : | Hoboken, New Jersey : John Wiley & Sons, Inc., [2021] |
| 형태사항 : | pages cm |
| 서지주기 : | Includes bibliographical references and index |
| 내용주기 : | 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. |
| 요약 : | "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 |
| 일반주제명 : | Computer networks -- Security measures -- |
| 일반주제명 : | Game theory -- |
| 일반주제명 : | Machine learning -- |
| 개인저자 : | Kamhoua, Charles A., editor |
| 개인저자 : | Kiekintveld, Christopher D., editor |
| 개인저자 : | Fang, Fei, 1989-, editor |
| 개인저자 : | Zhu, Quanyan, editor |
| 언어 | 영어 |
예약
- 1. 예약현황은 홈페이지 로그인 후 예약 페이지에 확인 가능합니다.
- 2. 도착 통보된 예약자료 대출을 원하지 않는 경우에는 예약 현황에서 취소할 수 있습니다.
- 3. 기타 문의사항은 도서관에 문의 바랍니다.
무인예약대출
- 1. 무인예약대출 현황은 홈페이지 로그인 후 무인예약대출 페이지에 확인 가능합니다.
- 2. 무인예약대출자료 대출을 원하지 않는 경우에는 무인예약대출 페이지에서 신청 또는 접수상태인 경우만 취소할 수 있습니다.
- 3. 희망대출일은 신청일로부터 최대 1주일 까지 가능합니다.
- 4. 희망대출일을 선택하지 않은 경우 대출대기 통보 후 1주일까지 기기에서 대출가능합니다.
- 5. 기타 문의사항은 도서관에 문의 바랍니다.
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