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008			211001s2021 sz | o |||| 0|eng d
020			_a9783030748968
024	7		_a10.1007/978-3-030-74896-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .A25 _b2021 EB
100			_aMongeau, Scott _9681083 _cCybersecurity Data Science Best Practices in an Emerging Profession
245	1	0	_aCybersecurity Data Science _bBest Practices in an Emerging Profession _cby Scott Mongeau, Andrzej Hajdasinski.
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publising _c2021
300			_a1 recurso en línea (XXVII, 388 páginas) _b99 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
505	0		_a1. Summary Introduction -- 2. Phase I: CSDS as an Emerging Profession - Diagnostic Literature Analysis -- 3 Phase II: CSDS Practitioners - Diagnostic Opinion Research and Gap Analysis -- 4 Phase III: CSDS Gap-Prescriptions - Design Science Problem Solving -- 5. Research Conclusions and Discussion -- 6. Managerial Recommendations -- References.
520	3		_aThis book encompasses a systematic exploration of Cybersecurity Data Science (CSDS) as an emerging profession, focusing on current versus idealized practice. This book also analyzes challenges facing the emerging CSDS profession, diagnoses key gaps, and prescribes treatments to facilitate advancement. Grounded in the management of information systems (MIS) discipline, insights derive from literature analysis and interviews with 50 global CSDS practitioners. CSDS as a diagnostic process grounded in the scientific method is emphasized throughout Cybersecurity Data Science (CSDS) is a rapidly evolving discipline which applies data science methods to cybersecurity challenges. CSDS reflects the rising interest in applying data-focused statistical, analytical, and machine learning-driven methods to address growing security gaps. This book offers a systematic assessment of the developing domain. Advocacy is provided to strengthen professional rigor and best practices in the emerging CSDS profession. This book will be of interest to a range of professionals associated with cybersecurity and data science, spanning practitioner, commercial, public sector, and academic domains. Best practices framed will be of interest to CSDS practitioners, security professionals, risk management stewards, and institutional stakeholders. Organizational and industry perspectives will be of interest to cybersecurity analysts, managers, planners, strategists, and regulators. Research professionals and academics are presented with a systematic analysis of the CSDS field, including an overview of the state of the art, a structured evaluation of key challenges, recommended best practices, and an extensive bibliography.
988			_aSpringer_Computer_2021
650		7	_2embne _aSeguridad informática _9158200
700	1		_aHajdasinski, Andrzej _eautor
776	0	8	_iPrinted edition: _z9783030748951
776	0	8	_iPrinted edition: _z9783030748975
776	0	8	_iPrinted edition: _z9783030748982
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-74896-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2022 _dz _eh _zSI