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020			_a9783030722364
024	7		_a10.1007/978-3-030-72236-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.A25 _b2021 EB
245	1	0	_aArtificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities _cedited by Sanjay Misra, Amit Kumar Tyagi.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (X, 467 páginas) _b194 ilustraciones, 108 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aStudies in Computational Intelligence _x1860-9503 _v972
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aA Deep Learning Framework to preserve Privacy in Federated (Collaborative) Learning -- Biometric Fingerprint Generation using Generative Adversarial Networks -- Assessing Cybersecurity Economic Risks in Virtual Power Plant UsingDeep Learning Techniques -- Biometric E-Voting System for Cybersecurity -- Proactive Network Packet Classification using Artificial Intelligence -- Security and Information Assurance for IoT-based Big Data -- Privacy Preservation Approaches for Social Network Data Publishing.
520	3		_aThis book provides stepwise discussion, exhaustive literature review, detailed analysis and discussion, rigorous experimentation results (using several analytics tools), and an application-oriented approach that can be demonstrated with respect to data analytics using artificial intelligence to make systems stronger (i.e., impossible to breach). We can see many serious cyber breaches on Government databases or public profiles at online social networking in the recent decade. Today artificial intelligence or machine learning is redefining every aspect of cyber security. From improving organizations' ability to anticipate and thwart breaches, protecting the proliferating number of threat surfaces with Zero Trust Security frameworks to making passwords obsolete, AI and machine learning are essential to securing the perimeters of any business. The book is useful for researchers, academics, industry players, data engineers, data scientists, governmental organizations, and non-governmental organizations.
988			_aSpringer_Robotics_2021
650		7	_2embne _aSeguridad informática _9158200
650		7	_2embne _aInteligencia artificial _9413115
700	1		_aMisra, Sanjay _eeditor literario _0(orcid)0000-0002-3556-9331 _1https://orcid.org/0000-0002-3556-9331 _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682381
700	1		_aKumar, Tyagi Amit _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9682382
776	0	8	_iPrinted edition: _z9783030722357
776	0	8	_iPrinted edition: _z9783030722371
776	0	8	_iPrinted edition: _z9783030722388
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-72236-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE