Authors:
Introduces a unique taxonomy by emphasizing and discussing IoT vulnerabilities in the context of various, previously unanalyzed dimensions
Proposes and evaluates an innovative approach to infer, characterize and attribute unsolicited Internet-scale IoT devices by correlating passive and the results of active empirical measurements
Presents a web-based platform, which is capable of aggregating data from multiple sources and promptly generating relevant intelligence, while requiring minimal human interaction
Reports the alarming number of compromised IoT devices related to smart home appliances, critical infrastructure, and automated control sectors
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Table of contents (5 chapters)
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Front Matter
About this book
At least 20 billion devices will be connected to the Internet in the next few years. Many of these devices transmit critical and sensitive system and personal data in real-time. Collectively known as “the Internet of Things” (IoT), this market represents a $267 billion per year industry. As valuable as this market is, security spending on the sector barely breaks 1%. Indeed, while IoT vendors continue to push more IoT devices to market, the security of these devices has often fallen in priority, making them easier to exploit. This drastically threatens the privacy of the consumers and the safety of mission-critical systems.
This book is intended for cybersecurity researchers and advanced-level students in computer science. Developers and operators working in this field, who are eager to comprehend the vulnerabilities of the Internet of Things (IoT) paradigm and understand the severity of accompanied security issues will also be interested in this book.
Authors and Affiliations
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Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, USA
Elias Bou-Harb
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Computer & Electrical Engineering, Florida Atlantic University, Boca Raton, USA
Nataliia Neshenko
About the authors
Nataliia Neshenko, PMP, PMI-ACP, FCCA is a Ph.D. candidate, concentrating in the field of operational cybersecurity, including attack detection and characterization, risk assessment methodologies, Internet of Things, and visual data mining and analysis. She is a recipient of the Best Paper Award at the 2017 IEEE International Symposium on Personal Indoor and Mobile Radio Communications. She also has over 16 years of project management experience in the field of business optimization in finance and IT.
Bibliographic Information
Book Title: Cyber Threat Intelligence for the Internet of Things
Authors: Elias Bou-Harb, Nataliia Neshenko
DOI: https://doi.org/10.1007/978-3-030-45858-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-45857-7Published: 31 May 2020
Softcover ISBN: 978-3-030-45860-7Published: 31 May 2021
eBook ISBN: 978-3-030-45858-4Published: 30 May 2020
Edition Number: 1
Number of Pages: X, 89
Number of Illustrations: 16 b/w illustrations, 26 illustrations in colour
Topics: Security, Computer Communication Networks, Artificial Intelligence, Information Systems Applications (incl. Internet)