A Trust-Based Active Detection for Cyber-Physical Security in Industrial Environments

Abstract

For the cyber-physical systems (CPS) in the smart industrial environments, a larger amount of smart sensor nodes, processors and actuators are deployed to sense information from physical world, which is vulnerable to be attacked because the nodes are deployed in unattended areas. Security is a pivotal issue for CPS, therefore, a trust-based active detection (TBAD) scheme is proposed for improving the reliability of collecting data packets and reducing the data redundancy. In TBAD scheme, the trust of the nodes is evaluated by the neighboring nodes and the evaluation results are added into the header of data packets. Thus, according to the reliability of data packets collected by the unmanned aerial vehicle (UAV), the trust of sensor nodes is evaluated by the UAV. In addition, the evaluation trust of nodes stored in the header of data packets will be detected when the UAV suspects the stored trust of sensor nodes. Then, the trust of corresponding sensor nodes is adjusted according to the detection results. The sensor nodes with higher trust are selected to form movement trajectory. A series of simulation experiments are conducted to evaluate the performance of the scheme. The results illustrate that the proposed scheme can greatly improve the efficiency and security of data routing in CPS.