Physical Unclonable Function Based Identity Management for IoT with Blockchain
Zhixiang Li, Yunxia Chu, Xuning Liu, Yuekui Zhang, Jiu Feng, Xiaoyang Xiang · Procedia Computer Science · 2022
As a result of the increasingly pervasive deployment of the Internet of Things(IoT), the cybersecurity of IoT has already attracted more and more research efforts. Identity management is believed to be the fundamental keystone to build security mechanisms. The traditional centralized identity management scheme suffers from a single point of failure and identity forgery. A secure IoT system framework was proposed leveraging blockchain as the basic infrastructure with Physical Unclonable Functions (PUFs) identifying the sensors uniquely. We brought up a scheme to improve the identity authentication protocol. Experiments showed that our approach was more effective and secure against attacks.