Efficient Batch Authentication Scheme Based on Edge Computing in IIoT

In the industrial Internet of Things (IIoT) environment (e.g., a smart factory), smart devices with limited computing power can bring large amounts of privacy-sensitive data into insecure networks when they interact. If a network attacker intercepts and tampers with this data, it may cause chaos in production and even paralyze the entire IIoT system. Therefore, to ensure the regular operation of intelligent production, data receivers must authenticate the data before using them. However, existing message authentication schemes in the IIoT environment authenticate each message individually, which creates many redundant operations. Hence, to ensure data security among smart devices and reduce the computational overhead of data processing, we propose a batch authentication scheme based on edge computing in IIoT. Specifically, we design a lightweight batch authentication algorithm and use edge servers to assist smart devices in authenticating data, thus reducing the computational burden on smart devices and improving the efficiency of message authentication. The security analysis shows that the proposed scheme is secure in the random oracle model and meets the series of security requirements of the IIoT. In addition, we illustrate the efficiency of the scheme through experiments.