Netinfo Security ›› 2022, Vol. 22 ›› Issue (9): 55-62.doi: 10.3969/j.issn.1671-1122.2022.09.007

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Identity Traceable Anonymous Authentication Scheme for Nodes in the Perception Layer of IoT

ZHANG Xuewang, LIU Yufan()   

  1. School of Software Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Received:2022-07-22 Online:2022-09-10 Published:2022-11-14
  • Contact: LIU Yufan E-mail:779889642@qq.com

Abstract:

The limited node resources, fragile devices, and complex data of the perception layer of the Internet of things make the security problems of the perception layer emerge in endlessly. Ensuring the credibility and security of the data in the perception layer is the basis to ensure the safe operation of the entire Internet of things system. Combining trusted computing and ring signcryption technology, this paper proposed an anonymous authentication scheme for traceable membership of nodes in the perception layer of the Internet of things. This scheme can hide the privacy information of nodes while providing external proof and can track the identity through a trusted third party when the data is in doubt. In addition, the correctness and effectiveness of this scheme are verified by simulation experiments, and the theoretical analysis shows that this scheme is efficient.

Key words: Internet of things, identity tracing, trusted computing, privacy protection, anonymous authentication

CLC Number: