000			02622nam a22002177a 4500
999			_c1540 _d1540
005			20220406123457.0
008			220406b ||||| |||| 00| 0 eng d
020			_a9783030604271
082			_a363.2596 _bMON
100			_aMontasari, Reza.
245			_aDigital forensic investigation of Internet of Things (IoT) devices _cReza Montasari; Hamid Jahankhani; Richard Hill; Simon Parkinson
260			_aCham, Switzerland : _bSpringer, _c2021.
300			_aviii, 285 pages) : _billustrations (chiefly color). _c24 cm.
440			_aAdvanced sciences and technologies for security applications
505			_t1. Emulation vs Instrumentation for Android Malware Detection -- _t2. Towards a Generic Approach of Quantifying Evidence Volatility in Resource Constrained Devices -- _t3. Application of Artificial Intelligence and Machine Learning in Producing Actionable Cyber Threat Intelligence -- _t4. Drone Forensics: The impact and Challenges -- _t5. 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			_aComputer security
650			_aDigital forensic science
650			_aComputer crimes
942			_2ddc _cBK