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Digital Forensic Investigation Of Internet Of Things (Iot) Devices (Pb 2021) at Meripustak

Digital Forensic Investigation Of Internet Of Things (Iot) Devices (Pb 2021) by MONTASARI R., SPRINGER

Books from same Author: MONTASARI R.

Books from same Publisher: SPRINGER

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  • General Information  
    Author(s)MONTASARI R.
    PublisherSPRINGER
    ISBN9783030604271
    Pages285
    BindingSoftbound
    LanguageEnglish
    Publish YearDecember 2021

    Description

    SPRINGER Digital Forensic Investigation Of Internet Of Things (Iot) Devices (Pb 2021) by MONTASARI R.

    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. 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.- 6. Cloud Computing Security: Hardware-Based Attacks and Countermeasures.- 7. Aspects of Biometric Security in Internet of Things Devices.- 8. Evaluating Multi-Layer Security Resistance to Adversarial Hacking Attacks on Industrial Internet of Things Devices.- 9. Establishing Trustworthy Relationships in Multiparty Industrial Internet of Things Applications.- 10. IoT Forensics: An Overview of the Current Issues and Challenges.



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