Digital forensic investigation of Internet of Things (IoT) devices [electronic resource]

• 其他作者：
  • Montasari, Reza.
  • SpringerLink (Online service)
• 其他題名：
  • Advanced sciences and technologies for security applications.
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Advanced sciences and technologies for security applications,
• 主題： Digital forensic science. , Computer crimes. , Computer security. , Computer networks--Security measures. , Computer engineering. , Internet of things. , Embedded computer systems. , System safety. , Systems and Data Security. , Mobile and Network Security. , Cyber-physical systems, IoT. , Security Science and Technology.
• ISBN： 9783030604257 (electronic bk.) 、 9783030604240 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: 1. 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.
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• 摘要註: 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.
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