Detecting anomalous behavior in microcontrollers using unintentional radio frequency emissions

This paper proposes a process of utilizing Correlation-Based Anomaly Detection (CBAD) on Unintentional RF (Radio Frequency) Emissions (URE) as a method of detecting anomalous behavior in microcontrollers. The number of counterfeit devices and malicious code being found in military systems is increasing. Therefore, an effective method of detecting anomalous behavior is required to determine whether the device is functioning properly. This may be accomplished by comparing the current operations of a device against a pre-established baseline.