A Sharding Scheme based Many-objective Optimization Algorithm for Enhancing Security in Blockchain-enabled Industrial Internet of Things

While Industrial Internet of Things (IIoT) can support efficient control of physical world through large amounts of industrial data, data security has been a challenge due to various interconnections and accesses. Blockchain technology can support security and privacy preservation in IIoT data with its trusted and reliable security mechanism. Sharding technology can help improve the overall throughput and scalability of blockchain networks. However, the effectiveness of sharding is still challenging due to the uneven distribution of malicious nodes. By aiming to improve the performance of blockchain networks and reduce the possibility of malicious node aggregation, this paper proposes a many-objective optimization algorithm based on the dynamic reward and penalty mechanism (MaOEA-DRP) to optimize shard validation validity model. Then, an optimal blockchain sharding scheme is obtained. The simulation results demonstrate that our proposed algorithm can significantly improve throughput and validity of sharding for better security in blockchain-enabled IIoT.