Research Area: Edge Computing
Edge computing is a new paradigm, especially suitable for Internet of Things (IoT) applications, which require low latency, location awareness and mass connections. It surely makes up for some shortcomings in cloud computing in terms of energy consumption and real-time analysis areas. However, it is still a great challenge to guarantee data security and privacy protection in edge computing environment. In this paper, we focus on the topic of authentication in edge computing and propose a conditional privacy-preserving authentication scheme based on blockchain, which guarantees user anonymity, conditional traceability as well as multi-factor security. The scheme uses elliptic curve cryptography (ECC) and does not use bilinear pairing operations. The key materials are stored on the blockchain and managed by the smart contracts. Formal security proof and heuristic security analysis show that the protocol satisfies desired security requirements and resists against most kinds of conventional attacks. Moreover, the performance comparison shows that the proposed scheme is more efficient in computation and communication than previous related schemes.
Keywords:
Authentication
Edge computing
Blockchain
Conditional privacy-preserving
elliptic curve cryptography
Internet of Things
Author(s) Name: Yifan Wang, Xiaoying Jia, Yongbo Xia, Muhammad Khurram Khan, Debiao He
Journal name: Journal of Information Security and Applications
Conferrence name:
Publisher name: Elsevier
DOI: 10.1016/j.jisa.2022.103334
Volume Information: Volume 70, November 2022, 103334
