Digital forensic investigation of Internet of Things (IoT) devices / Reza Montasari, Hamid Jahankhani, Richard Hill, Simon Parkinson, editors.
2021
HV8079.C65 D55 2021
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Details
Title
Digital forensic investigation of Internet of Things (IoT) devices / Reza Montasari, Hamid Jahankhani, Richard Hill, Simon Parkinson, editors.
ISBN
303060425X (electronic book)
9783030604257 (electronic bk.)
9783030604264 (print)
3030604268
9783030604271 (print)
3030604276
9783030604240
3030604241
9783030604257 (electronic bk.)
9783030604264 (print)
3030604268
9783030604271 (print)
3030604276
9783030604240
3030604241
Published
Cham, Switzerland : Springer, [2021]
Language
English
Description
1 online resource (viii, 285 pages) : illustrations (chiefly color)
Item Number
10.1007/978-3-030-60425-7 doi
Call Number
HV8079.C65 D55 2021
Dewey Decimal Classification
363.25/968
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from digital title page (viewed on February 11, 2021).
Added Author
Montasari, Reza, editor.
Jahankhani, Hamid, editor.
Hill, Richard, editor.
Parkinson, Simon, editor.
Jahankhani, Hamid, editor.
Hill, Richard, editor.
Parkinson, Simon, editor.
Series
Advanced sciences and technologies for security applications, 1613-5113
Available in Other Form
Print version: 9783030604240
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Online Access
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Online Resources > Ebooks
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Table of Contents
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.
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.