A Hybrid BlockChain-Based Identity Authentication Scheme for Multi-WSN

By Zhihua Cui, Fei Xue, Shiqiang Zhang, Xingjuan Cai, Yang Cao, Wensheng Zhang, Jinjun Chen. IEEE Transactions on Services Computing, 2020

463 citations recorded by the source corpus.

Internet of Things (IoT) equipment is usually in a harsh environment, and its security has always been a widely concerned issue. Node identity authentication is an important means to ensure its security. Traditional IoT identity authentication protocols usually rely on trusted third parties. However, many IoT environments do not allow such conditions, and are prone to single point failure. Blockchain technology with decentralization features provides a new solution for distributed IoT system. In this paper, a blockchain based multi-WSN authentication scheme for IoT is proposed. The nodes of IoT are divided into base stations, cluster head nodes and ordinary nodes according to their capability differences, which are formed to a hierarchical network. A blockchain network is constructed among different types of nodes to form a hybrid blockchain model, including local chain and public chain. In this hybrid model, nodes identity mutual authentication in various communication scenarios is realized, ordinary node identity authentication operation is accomplished by local blockchain, and cluster head node identity authentication are realized in public blockchain. The analysis of security and performance shows that the scheme has comprehensive security and better performance.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/9fa0798bb2a560b0833576aa143cc926631cd36b

How researchers see this paper

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In Information Systems

1. Ying Zhao
2. Jinjun Chen

Citations in the corpus

• A survey on federated learning: challenges and applications (2022, methodology): “Park et al. [53] used HE technique to design a privacy-protected FL algorithm that enables centralized servers to directly aggregate encrypted DP approach with noise-adding mechanism is applied in the FL framework [61].”
• A Survey on Differential Privacy for Unstructured Data Content (2022, background): “It is challenging to further explore other privacy scenarios that need rigorous protection, such as complex scenarios in IoT systems [9, 17] and smart grid systems [45].”