On Data Integrity Attacks against Industrial Internet of Things

Industrial Internet of Things (IIoT) is predicted to drive the fourth industrial revolution through massive interconnection of industrial devices, integrating advances in smart machinery and data analytics driven by computing, networking and artificial intelligence techniques. The massive interconnections between industrial devices increase not only information exchange, productivity, and resource efficiency, but also cybersecurity risks and their impact on the Industrial Internet of Things (IIoT) system. In this paper, we investigate the evolutionary process, which captures the natural interactions and evolutions of both attackers and defenders, as well as their strategies to launch data integrity attacks and protect the IIoT system, respectively. We leverage the wireless cyber-physical simulator (WCPS) as a realistic IIoT environment to implement and evaluate strategies at different levels of evolution. The experimental results indicate the effectiveness of defensive strategies in guarding against various forms of data integrity attacks with increase in time and knowledge throughout the evolutionary process.