Anonymity-based privacy preserving scheme in robot system of fog-based Industrial IoT

Industrial Internet of Things (IIoT) security has recently drawn significant attention. Industrial robots, like typical IIoT systems, are vulnerable in multiple aspects including control, communication, and computation, making it challenging to precisely detect IIoT assaults in real-time due to resource limitations. In order to improve the security of conveyed data in an IIoT environment, this work provides a novel anonymity-based privacy-preserving strategy for robot systems in fog-based IIoT. The suggested system introduces an innovative integration of sign-encrypt aggregation techniques specifically tailored for fog-based architectures. Particularly when the number of connected robots increases, the proposed scheme provides an aggregation approach to alleviate the computational delay that existing IIoT systems suffer from. According to a thorough security analysis, the suggested system can accomplish more security features than existing schemes and is robust against several security and privacy issues in IoT communication networks. Regarding computational cost, the suggested system demonstrates high efficiency in verifying a large volume of messages within a limited period of time.