Cyber Threat Intelligence for the Internet of Things

Author:   Elias Bou-Harb ,  Nataliia Neshenko
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
ISBN:  

9783030458577


Pages:   89
Publication Date:   31 May 2020
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Cyber Threat Intelligence for the Internet of Things


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Author:   Elias Bou-Harb ,  Nataliia Neshenko
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Weight:   0.454kg
ISBN:  

9783030458577


ISBN 10:   3030458571
Pages:   89
Publication Date:   31 May 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Taxonomy of IoT Vulnerabilities.- Towards Inferring IoT Maliciousness.- Generating and sharing IoT-centric Cyber Threat Intelligence.- Concluding Remarks and Future Perspective.-

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Dr. Bou-Harb, Ph.D., CISSP received the Ph.D. degree in computer science from Concordia University, Montreal, Canada. He was a visiting research scientist at Carnegie Mellon University (CMU), Pittsburgh, PA, USA, in 2015–2016. He joined the Department of Computer Science at Florida Atlantic University (FAU) as an Assistant Professor of cyber security and data analytics in 2016. He is currently an Associate Professor and the Associate Director of The Cyber Center For Security and Analytics at the Department of Information Systems and Cyber Security at the University of Texas at San Antonio (UTSA). He is also a research scientist at the National Cyber Forensic and Training Alliance (NCFTA) of Canada. His current research interests are in the areas of operational cyber security, attacks’ detection and characterization, Internet measurements, and cyber security for critical infrastructure. 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.

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