000			02034nam a22003857a 4500
003			APU
005			20221115174907.0
008			180314s2018 caua ob 001 0 eng d
020			_a9781491979907
020			_a1491979909
035			_a(OCoLC)ocn982650376
040			_aBTCTA _beng _cAPU _dSF
042			_alccopycat
050	0	0	_aQ325.5 _b.C48 2018
082	0	4	_a006.3/1 _223
100	1		_aChio, Clarence, _946393
245	1	0	_aMachine learning and security : _bprotecting systems with data and algorithms / _cClarence Chio and David Freeman.
250			_aFirst edition.
260			_a
264			_aSebastopol, CA : _bO'Reilly Media, _cc2018.
300			_axv, 365 pages : _billustrations ; _c24 cm.
504			_aIncludes bibliographical references and index.
520			_aCan machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you'll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike --
650		0	_aMachine learning. _946394
650		0	_aComputer security. _946395
650		7	_aComputer security. _2fast _946395
650		7	_aMachine learning. _2fast _946394
650		7	_aDatensicherung _2gnd _946396
650		7	_aKünstliche Intelligenz _2gnd _946397
650	1	7	_aMachine-learning. _2gtt _946398
650	1	7	_aAlgoritmen. _2gtt _946399
700	1		_aFreeman, David, _946400
942			_2lcc _cBook
999			_c383237 _d383237