000			03738cam a2200613 i 4500
001			on1268121474
003			OCoLC
005			20220711203721.0
006			m o d
007			cr |||||||||||
008			210702s2021 njua ob 001 0 eng
010			_a 2021031985
040			_aDLC _beng _erda _cDLC _dIEEEE _dOCLCO _dYDX _dOCLCF _dN$T
020			_a1119723949 _qelectronic book
020			_a9781119723912 _qelectronic book
020			_a1119723914 _qelectronic book
020			_a9781119723950 _qelectronic book
020			_a1119723957 _qelectronic book
020			_a9781119723943 _q(electronic bk.)
020			_z9781119723929 _qhardcover
024	7		_a10.1002/9781119723950 _2doi
035			_a(OCoLC)1268121474
037			_a9536219 _bIEEE
042			_apcc
050	0	4	_aTK5105.59 _b.G353 2021
082	0	0	_a658.4/78 _223
049			_aMAIN
245	0	0	_aGame theory and machine learning for cyber security / _cedited by Charles A. Kamhoua, Christopher D. Kiekintveld, Fei Fang, Quanyan Zhu.
264		1	_aHoboken, New Jersey : _bJohn Wiley & Sons, Inc., _c[2021]
300			_a1 online resource : _billustrations (chiefly color)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
504			_aIncludes bibliographical references and index.
505	2		_aIntroduction 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"-- _cProvided by publisher.
588			_aDescription based on online resource; title from digital title page (viewed on September 29, 2021).
590			_bWiley Frontlist Obook All English 2021
650		0	_aComputer networks _xSecurity measures. _93969
650		0	_aGame theory. _96996
650		0	_aMachine learning. _91831
650		7	_aComputer networks _xSecurity measures. _2fast _0(OCoLC)fst00872341 _93969
650		7	_aGame theory. _2fast _0(OCoLC)fst00937501 _96996
650		7	_aMachine learning. _2fast _0(OCoLC)fst01004795 _91831
655		4	_aElectronic books. _93294
700	1		_aKamhoua, Charles A., _eeditor. _99097
700	1		_aKiekintveld, Christopher D., _eeditor. _910237
700	1		_aFang, Fei, _d1989- _eeditor. _910238
700	1		_aZhu, Quanyan, _eeditor. _910239
776	0	8	_iPrint version: _tGame theory and machine learning for cyber security _bFirst edition. _dHoboken, New Jersey : John Wiley & Sons, Inc., [2021] _z9781119723929 _w(DLC) 2021031984
856	4	0	_uhttps://doi.org/10.1002/9781119723950 _zWiley Online Library
942			_cEBK
994			_a92 _bDG1
999			_c69644 _d69644