Springer Digital Forensic Investigation of Internet of Things (IoT) Devices (Advanced Sciences and Technologies for Security Applications)

Product Description This 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.       From the Back Cover This 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.       About the Author Reza Montasari is a Senior Lecturer in Cyber Threats in the Hillary Rodham Clinton School of Law at Swansea University. Reza’s main research interests lie in the areas of Digital Forensics, Cyber Threats and Cyber Security but also include Cyber Terrorism, Cyber Law, Cyber Criminology and Digital Policing. Reza has significant experience in conducting Digital Forensic investigations within complex computing environments such as Internet of Things (IoT) and Cloud Computing (CC). His work is also focused on the security challenges around emerging technologies such as unmanned aerial vehicles (UAVs), blockchain and cryptocurrency. Reza has worked with a number of UK police forces and has given a number of invited talks including his recent presentation at the College of Policing and The Investigator Spring National Digital Media Investigator’s (DMI) Conference (Oxford, UK., 2019). Reza is a Fellow of Higher Educatio