On Data Integrity Attacks against Industrial Internet of Things
Hansong Xu, Wei Yu, Xing Liu, David W. Griffith, Nada T. Golmie
Industrial Internet of Things (IIoT) is predicted to drive the fourth industrial revolution through massive interconnection of industrial devices, such as sensors, controllers and actuators, 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 to the IIoT system. In this paper, we investigate the evolutionary process, which captures the natural interactions and evolutions of 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 testbed 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.
August 17-October 24, 2020
IEEE Cyber Science and Technology Congress (CyberSciTech 2020)
Industrial Internet of Things, Data Integrity Attacks, Evolutionary Process, Cyber-Physical System