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020 _a9783030604257
_9978-3-030-60425-7
024 7 _a10.1007/978-3-030-60425-7
_2doi
050 4 _aQA76.9.A25
072 7 _aUR
_2bicssc
072 7 _aUTN
_2bicssc
072 7 _aCOM053000
_2bisacsh
072 7 _aUR
_2thema
072 7 _aUTN
_2thema
082 0 4 _a005.8
_223
245 1 0 _aDigital Forensic Investigation of Internet of Things (IoT) Devices
_h[electronic resource] /
_cedited by Reza Montasari, Hamid Jahankhani, Richard Hill, Simon Parkinson.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aVIII, 285 p. 91 illus., 85 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvanced Sciences and Technologies for Security Applications,
_x2363-9466
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 _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. .
650 0 _aData protection.
650 0 _aComputer networks
_xSecurity measures.
650 0 _aCooperating objects (Computer systems).
650 0 _aComputer crimes.
650 0 _aSecurity systems.
650 1 4 _aData and Information Security.
650 2 4 _aMobile and Network Security.
650 2 4 _aCyber-Physical Systems.
650 2 4 _aComputer Crime.
650 2 4 _aSecurity Science and Technology.
700 1 _aMontasari, Reza.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aJahankhani, Hamid.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHill, Richard.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aParkinson, Simon.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030604240
776 0 8 _iPrinted edition:
_z9783030604264
776 0 8 _iPrinted edition:
_z9783030604271
830 0 _aAdvanced Sciences and Technologies for Security Applications,
_x2363-9466
856 4 0 _uhttps://doi.org/10.1007/978-3-030-60425-7
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c186493
_d186493