Radio Frequency Based Programmable Logic Controller Anomaly Detection.

摘要

The research goal involved developing improved methods for securing Programmable Logic Controller (PLC) devices against unauthorized entry and mitigating the risk of Supervisory Control and Data Acquisition (SCADA) attack by detecting malicious software and/or trojan hardware. A Correlation Based Anomaly Detection (CBAD) process was developed to enable (1) software anomaly detection discriminating between various operating conditions to detect malfunctioning or malicious software, firmware, etc., and (2) hardware component discrimination discriminating between various hardware components to detect malfunctioning or counterfeit, trojan, etc., components.