Cyber Threat Intelligence for the Internet of Things

Introduction.- Taxonomy of IoT Vulnerabilities.- Towards Inferring IoT Maliciousness.- Generating and sharing IoT-centric Cyber Threat Intelligence.- Concluding...
¥51,832 JPY
¥51,832 JPY
SKU: 9783030458577
Product Type: Books
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Author: Elias Bou-Harb
Format: Hardcover
Language: English
Subtotal: ¥51,832
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Cyber Threat Intelligence for the Internet of Things by Bou-Harb, Elias

Cyber Threat Intelligence for the Internet of Things

¥51,832

Cyber Threat Intelligence for the Internet of Things

¥51,832
Author: Elias Bou-Harb
Format: Hardcover
Language: English
Introduction.- Taxonomy of IoT Vulnerabilities.- Towards Inferring IoT Maliciousness.- Generating and sharing IoT-centric Cyber Threat Intelligence.- Concluding Remarks and Future Perspective.-

Author: Elias Bou-Harb, Nataliia Neshenko
Publisher: Springer
Published: 05/31/2020
Pages: 89
Binding Type: Hardcover
Weight: 0.71lbs
Size: 9.21h x 6.14w x 0.31d
ISBN: 9783030458577

About the Author
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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