Privacy, security and forensics in the Internet of Things (IoT) / Reza Montasari, Fiona Carroll, Ian Mitchell, Sukhvinder Hara, Rachel Bolton-King, editors.
Montasari, Reza, editor.; Carroll, Fiona, editor.; Mitchell, Ian, editor.; Hara, Sukhvinder, editor.; Bolton-King, Rachel, editor.
2022
TK5105.8857 .P75 2022
Available Online

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Title Privacy, security and forensics in the Internet of Things (IoT) / Reza Montasari, Fiona Carroll, Ian Mitchell, Sukhvinder Hara, Rachel Bolton-King, editors.
ISBN 9783030912185 (electronic bk.)
3030912183 (electronic bk.)
9783030912178
3030912175
DOI https://doi.org/10.1007/978-3-030-91218-5
Published Cham : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource : illustrations (chiefly color)
Other Standard Identifiers 10.1007/978-3-030-91218-5 doi
Call Number TK5105.8857 .P75 2022
Dewey Decimal Classification 004.67/8
Summary This book provides the most recent security, privacy, technical and legal challenges in the IoT environments. This book offers a wide range of theoretical and technical solutions to address these challenges. Topics covered in this book include; IoT, privacy, ethics and security, the use of machine learning algorithms in classifying malicious websites, investigation of cases involving cryptocurrency, the challenges police and law enforcement face in policing cyberspace, the use of the IoT in modern terrorism and violent extremism, the challenges of the IoT in view of industrial control systems, and the impact of social media platforms on radicalisation to terrorism and violent extremism. This book also focuses on the ethical design of the IoT and the large volumes of data being collected and processed in an attempt to understand individuals' perceptions of data and trust. A particular emphasis is placed on data ownership and perceived rights online. It examines cyber security challenges associated with the IoT, by making use of Industrial Control Systems, using an example with practical real-time considerations. Furthermore, this book compares and analyses different machine learning techniques, i.e., Gaussian Process Classification, Decision Tree Classification, and Support Vector Classification, based on their ability to learn and detect the attributes of malicious web applications. The data is subjected to multiple steps of pre-processing including; data formatting, missing value replacement, scaling and principal component analysis. This book has a multidisciplinary approach. Researchers working within security, privacy, technical and legal challenges in the IoT environments and advanced-level students majoring in computer science will find this book useful as a reference. Professionals working within this related field will also want to purchase this book.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed February 24, 2022).
Added Author Montasari, Reza, editor.
Carroll, Fiona, editor.
Mitchell, Ian, editor.
Hara, Sukhvinder, editor.
Bolton-King, Rachel, editor.
Available in Other Form Print version: 9783030912178
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Introduction - Critical Analysis of the Challenges Police and Law Enforcement Face in Policing Cyberspace
Ethics and the Internet of Everything: A Glimpse into People's Perceptions Of IoT Privacy and Security
Privacy and Security Challenges and Opportunities for IoT Technologies during and beyond COVID-19
The Challenges of the Internet of Things Considering Industrial Control Systems
An Introduction to Cryptocurrency Investigations
The Application of Machine Learning Algorithms in Classification of Malicious Websites
The Use of the Internet and the Internet of Things in Modern Terrorism and Violent Extremism
The Impact of the Internet and Social Media Platforms on Radicalisation to Terrorism and Violent Extremism
The Internet, Social Media and the Internet of Things in Radicalisation to Terrorism and Violent Extremism
The Internet of Things and Terrorism: A Cause for Concern.

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