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710	2		_aSpringerLink (Online service) _9106996
999			_c111525 _d111525 _x1
001			111525
003			ES-MaUEC
005			20240111050155.0
008			181111s2019 gw a o |||| 0|eng d
020			_a9783319988429
024	7		_a10.1007/978-3-319-98842-9 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aTA347.A78 _b2019 EB
245	0	0	_aAI in Cybersecurity _cedited by Leslie F. Sikos.
264		1	_aCham _bImprint: Springer _c2019
300			_a1 recurso en línea (XVII, 205 páginas)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aIntelligent Systems Reference Library _x1868-4394 _v151
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aOWL Ontologies in Cybersecurity: Conceptual Modeling of Cyber-Knowledge -- Knowledge Representation of Network Semantics for Reasoning-Powered Cyber-Situational Awareness -- The Security of Machine Learning Systems -- Patch Before Exploited: An Approach to Identify Targeted Software Vulnerabilities -- Applying Artificial Intelligence Methods to Network Attack Detection -- Machine Learning Algorithms for Network Intrusion Detection -- Android Application Analysis using Machine Learning Techniques.
520	3		_aThis book presents a collection of state-of-the-art AI approaches to cybersecurity and cyberthreat intelligence, offering strategic defense mechanisms for malware, addressing cybercrime, and assessing vulnerabilities to yield proactive rather than reactive countermeasures. The current variety and scope of cybersecurity threats far exceed the capabilities of even the most skilled security professionals. In addition, analyzing yesterday's security incidents no longer enables experts to predict and prevent tomorrow's attacks, which necessitates approaches that go far beyond identifying known threats. Nevertheless, there are promising avenues: complex behavior matching can isolate threats based on the actions taken, while machine learning can help detect anomalies, prevent malware infections, discover signs of illicit activities, and protect assets from hackers. In turn, knowledge representation enables automated reasoning over network data, helping achieve cybersituational awareness. Bringing together contributions by high-caliber experts, this book suggests new research directions in this critical and rapidly growing field.
988			_aPrimersemestre_2019_Robotics
650		7	_2embne _aInteligencia artificial _9413115
650		7	_2embne _aSeguridad informática _9158200
700	1		_aSikos, Leslie F. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783319988412
776	0	8	_iPrinted edition: _z9783319988436
776	0	8	_iPrinted edition: _z9783030075392
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-98842-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b11/2019 _ek _zSI