Designing an Intrusion Proof Adjustable Speed Drive System Controlling a Critical Process

Conference · Sun Jun 26 00:00:00 EDT 2022 · 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)

DOI:https://doi.org/10.1109/pedg54999.2022.9923160· OSTI ID:2427401

Alotaibi, Faris ^[1]; Ibrahim, Hasan ^[1]; Kim, Jaewon ^[1]; Enjeti, Prasad ^[1]

---

1. Texas A&M University,College Station,U.S.A

In this paper, an intrusion proof adjustable speed drive system controlling a critical process in an industrial control system is detailed. In such a system, should the motor speed sensor signal data be compromised and/or altered via a cyber-attack, the system can potentially be unregulated, over speed and/or malfunction thereby disrupting the critical process. The proposed active detection scheme detailed in this paper introduces a private (secret) random signal termed as "watermark" into the inverter control signal that determines the PWM gating signals of the DC-AC inverter powering the motor. The watermarking signal introduced into the PWM modulation for the DC-AC inverter is shown to propagates its unique signature, which appears in all sensors signals at the inverter output such as voltage/current/speed used to control the motor. Now employing the measured data (from sensors), two statistical variance tests are conducted to identify anomalies if any in the presence of the watermarking signal. It is shown when an intrusion occurs to manipulate the sensor data to disturb and/or destabilize the process, the proposed tests immediately display a high value indicating a compromise in sensor data. It is shown that the proposed system is capable of immediate detection of a sophisticated attacks such as record/reply attack in which the actual speed sensor is disconnected and a prerecorded speed signal from the past of the same magnitude is played back to the controller. Several types of cyber-attacks such as speed reduction/increase including vibration have been tested. Extensive simulation results verify the proposed concepts. Experimental results will be discussed in the conference presentation.

• Research Organization: Texas A&M Engineering Experiment Station
• Sponsoring Organization: USDOE
• DOE Contract Number: EE0009031
• OSTI ID: 2427401
• Journal Information: 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), Journal Name: 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems (PEDG)
• Country of Publication: United States
• Language: English