Point-to-Point Offline Authentication Consensus Algorithm in the Internet of Things

Abstract

In the era of Internet of Things, identity and information authentication have drawn more and more attention. Existing identification mechanisms for identity information generally require networks, biometrics, etc., which exist security vulnerabilities such as security holes, privacy leaks, and vulnerability to attacks. A non-interactive concise offline authentication scheme based on block-chain technology is proposed which no need for complex services such as networking, and hardware implementation is simple. We research anonymity based on block-chain, workload proof and privacy protection technologies, design system models. Integrate device information, data, and confidentiality. The cloud platform function such as key management completes the hardware verification of the offline token authentication algorithm. The experiment results show that the scheme has the characteristics of extremely low recognition rate with a certain difficulty, high performance, high security, low cost, etc. Compared with the existing authentication methods, ours has more advantages.