£92.00

Springer Efficient and Provably Secure Schemes for Vehicular Ad-Hoc Networks

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Description

Product Description This book focuses on the design of secure and efficient signature and signcryption schemes for vehicular ad-hoc networks (VANETs). We use methods such as public key cryptography (PKI), identity-based cryptography (IDC), and certificateless cryptography (CLC) to design bilinear pairing and elliptic curve cryptography-based signature and signcryption schemes and prove their security in the random oracle model. The signature schemes ensure the authenticity of source and integrity of a safety message. While signcryption schemes ensure authentication and confidentiality of the safety message in a single logical step. To provide readers to study the schemes that securely and efficiently process a message and multiple messages in vehicle to vehicle and vehicle to infrastructure communications is the main benefit of this book. In addition, it can benefit researchers, engineers, and graduate students in the fields of security and privacy of VANETs, Internet of vehicles securty, wireless body area networks security, etc. From the Back Cover This book focuses on the design of secure and efficient signature and signcryption schemes for vehicular ad-hoc networks (VANETs). We use methods such as public key cryptography (PKI), identity-based cryptography (IDC), and certificateless cryptography (CLC) to design bilinear pairing and elliptic curve cryptography-based signature and signcryption schemes and prove their security in the random oracle model. The signature schemes ensure the authenticity of source and integrity of a safety message. While signcryption schemes ensure authentication and confidentiality of the safety message in a single logical step. To provide readers to study the schemes that securely and efficiently process a message and multiple messages in vehicle to vehicle and vehicle to infrastructure communications is the main benefit of this book. In addition, it can benefit researchers, engineers, and graduate students in the fields of security and privacy of VANETs, Internet of vehicles securty, wireless body area networks security, etc. About the Author Ikram Ali, he is currently working at the School of Automation Engineering, University of Electronic Science and Technology of China (UESTC) . He received my PhD degree majoring Computer Science and Technology from UESTC in 2020 . Currently, I am working as Post-doctoral researcher and research assistant at the UESTC. His research interest includes Cryptography and Network Security, Security and Privacy of Vehicular Ad-Hoc Networks, Internet of Things Security, Wireless Body Area Networks Security, and Interconnected Vehicular Platoon, Distributed Fault Tolerant Control and Adaptive Control. Yong Chen (Senior Member, IEEE),he is currently working at the School of Automation Engineering, University of Electronic Science and Technology of China (UESTC) . He received the Ph.D. degree from Chongqing University, Chongqing in  2007, he was a Visiting Scholar with The University of Adelaide during 2013-2014. Since 2015, he has been a Professor and the Ph.D. Supervisor with the School of Automation Engineering, and the Director of the Institute of Electric Vehicle Driving System and Safety Technology, UESTC. Since 2021, he was also work in the Yangtze Delta Region Institute (Huzhou) ,UESTC. He has published over 100 technical papers in journals and conferences, and over 50 Chinese patents. His current research interests include Networked control system, Cyber physical systems, Fault-tolerant control and reliability and Advanced control. Mohammad Faisal, He is currently working at the department of computer science and IT, University of Malakand Pakistan, he received his M.S. degree in information security management from SZABIST, Pakistan, in 2012, and the Ph.D. degree in network security from the Department of Computer Science and Information Technology, University of Malakand in 2018. His research interests include ML and security

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
12 January 2022
Listed Since
09 November 2021

Barcode

No barcode data available

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