000			03288nam a22005057i 4500
001			on1351852260
003			OCoLC
005			20240523125544.0
006			m o d
007			cr cnu---unuuu
008			221128s2023 nju ob 001 0 eng d
040			_aDG1 _beng _erda _epn _cDG1 _dOCLCO _dOCLCL
020			_a9781119884170 _q(electronic bk.)
020			_a1119884179 _q(electronic bk.)
020			_z9781119884149
020			_z1119884144
029	1		_aAU@ _b000073230581
035			_a(OCoLC)1351852260
050		4	_aTK5105.8857 _b.A255 2023eb
082	0	4	_a004.67/8 _222
049			_aMAIN
100	1		_aAbdel-Basset, Mohamed, _d1985- _eauthor. _1https://id.oclc.org/worldcat/entity/E39PCjFqHj8rmttYjRJRCHmrYK
245	1	0	_aDeep learning approaches for security threats in IoT environments / _cMohamed Abdel-Basset, Zagazig University, Egypt, Nour Moustafa, UNSW Canberra at the Australian Defence Force Academy, Australia, Hossam Hawash, Zagazig University, Egypt.
250			_aFirst edition.
264		1	_aHoboken, New Jersey : _bJohn Wiley & Sons, Inc., _c[2023]
300			_a1 online resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
504			_aIncludes bibliographical references and index.
520			_a"Deep Learning Approaches for Security Threats in IoT Environments discusses approaches and measures to ensure our IoT systems are secure. This book discusses important concepts of AI and IoT and applies vital approaches that can be used to protect our systems - these include supervised, unsupervised, and semi-supervised Deep Learning approaches as well as Reinforcement and Federated Learning for privacy-preserving. This book applies Digital Forensics to IoT and discusses problems that professionals may encounter when working in the field of IoT forensics, providing ways in which smart devices can solve cyber security issues. Aimed at readers within the cyber security field, this book presents the most recent challenges that are faced in deep learning when creating a secure platform for IoT systems and addresses the possible solutions, paving the way for a more secure future"-- _cProvided by publisher.
588	0		_aPrint version record.
590			_aJohn Wiley and Sons _bWiley Online Library: Complete oBooks
650		0	_aInternet of things _xSecurity measures _xData processing.
650		0	_aDeep learning (Machine learning)
650		6	_aInternet des objets _xS�ecurit�e _xMesures _xInformatique.
650		6	_aApprentissage profond.
650		7	_aDeep learning (Machine learning) _2fast
700	1		_aMoustafa, Nour, _eauthor.
700	1		_aHawash, Hossam, _eauthor.
758			_ihas work: _aDEEP LEARNING APPROACHES FOR SECURITY THREATS IN IOT ENVIRONMENTS (Text) _1https://id.oclc.org/worldcat/entity/E39PD3tRWdPtPMpBHBf4M3krqP _4https://id.oclc.org/worldcat/ontology/hasWork
776	0	8	_iPrint version: _aAbdel-Basset, Mohamed, 1985- _tDeep learning approaches for security threats in IoT environments. _bFirst edition. _dHoboken, New Jersey : John Wiley & Sons, Inc., [2023] _z9781119884149 _w(DLC) 2022035671 _w(OCoLC)1345615485
856	4	0	_uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119884170
994			_a92 _bINLUM
999			_c12934 _d12934