| Title | Analyzing and Mitigating of Time Delay Attack (TDA) by using Fractional Filter based IMC-PID with Smith Predictor |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Kumar, Vivek, Hote, Yogesh V. |
| Conference Name | 2022 IEEE 61st Conference on Decision and Control (CDC) |
| Date Published | dec |
| Keywords | Cybersecurity Damage Assessment, Delay effects, process control, pubcrawl, resilience, Resiliency, robust control, Robustness, Sensor systems, simulation, TV |
| Abstract | In this era, with a great extent of automation and connection, modern production processes are highly prone to cyber-attacks. The sensor-controller chain becomes an obvious target for attacks because sensors are commonly used to regulate production facilities. In this research, we introduce a new control configuration for the system, which is sensitive to time delay attacks (TDA), in which data transfer from the sensor to the controller is intentionally delayed. The attackers want to disrupt and damage the system by forcing controllers to use obsolete data about the system status. In order to improve the accuracy of delay identification and prediction, as well as erroneous limit and estimation for control, a new control structure is developed by an Internal Model Control (IMC) based Proportional-Integral-Derivative (PID) scheme with a fractional filter. An additional concept is included to mitigate the effect of time delay attack, i.e., the smith predictor. Simulation studies of the established control framework have been implemented with two numerical examples. The performance assessment of the proposed method has been done based on integral square error (ISE), integral absolute error (IAE) and total variation (TV). |
| DOI | 10.1109/CDC51059.2022.9992756 |
| Citation Key | kumar_analyzing_2022 |
Analyzing and Mitigating of Time Delay Attack (TDA) by using Fractional Filter based IMC-PID with Smith Predictor