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008			201209s2021 gw a o |||| 0|eng d
020			_a9783030604257
024	7		_a10.1007/978-3-030-60425-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.A25 _b2021 EB
245	0	0	_aDigital Forensic Investigation of Internet of Things (IoT) Devices _cedited by Reza Montasari, Hamid Jahankhani, Richard Hill, Simon Parkinson
250			_aFirst edition 2021
264		1	_aCham, Switzerland _bSpringer International Publising _c2021
300			_a1 recurso en línea (VIII, 285 páginas) _b91 ilustraciones, 85 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aAdvanced Sciences and Technologies for Security Applications _x1613-5113
505	0		_a1. Emulation vs Instrumentation for Android Malware Detection -- 2. Towards a Generic Approach of Quantifying Evidence Volatility in Resource Constrained Devices -- 3. Application of Artificial Intelligence and Machine Learning in Producing Actionable Cyber Threat Intelligence -- 4. Drone Forensics: The impact and Challenges -- 5. Intrusion Detection and CAN Vehicle Networks.
520	3		_aThis book provides a valuable reference for digital forensics practitioners and cyber security experts operating in various fields of law enforcement, incident response and commerce. It is also aimed at researchers seeking to obtain a more profound knowledge of Digital Forensics and Cybercrime. Furthermore, the book is an exceptional advanced text for PhD and Master degree programmes in Digital Forensics and Cyber Security. Each chapter of this book is written by an internationally-renowned expert who has extensive experience in law enforcement, industry and academia. The increasing popularity in the use of IoT devices for criminal activities means that there is a maturing discipline and industry around IoT forensics. As technology becomes cheaper and easier to deploy in an increased number of discrete, everyday objects, scope for the automated creation of personalised digital footprints becomes greater. Devices which are presently included within the Internet of Things (IoT) umbrella have a massive potential to enable and shape the way that humans interact and achieve objectives. These also forge a trail of data that can be used to triangulate and identify individuals and their actions. As such, interest and developments in autonomous vehicles, unmanned drones and 'smart' home appliances are creating unprecedented opportunities for the research communities to investigate the production and evaluation of evidence through the discipline of digital forensics.
988			_aSpringer_Computer_2021
650		7	_2embne _aSeguridad informática _9158200
650		7	_2embne _aDelitos informáticos _9141254
650		7	_2embne _9483083 _aInternet de los objetos
700	1		_aMontasari, Reza _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aJahankhani, Hamid _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aHill, Richard _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aParkinson, Simon _eeditor literario _0(orcid)0000-0002-1747-9914 _1https://orcid.org/0000-0002-1747-9914 _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-60425-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2021 _dz _eb _zSI