Detecting the presence of malware or changes in digital hardware configuration is an ongoing challenge with impact on fielded system and ones still in the supply chain.
While larger platforms such as servers have onboard digital defenses against many threats these are not available to smaller platforms such as IOT devices, controllers, or FPGAs. Moreover, the presence of digital defenses may be detected and possibly circumvented.
STR is developing off-board sensors that exploit involuntary analog emissions from digital platforms across an air-gap. These emissions are processed to detect deviations from expected behavior in digital platforms using a combination of RF sensors, signal processing and feature extraction, software control flow tracking and hardware analysis, and machine learning classification to provide real-time feedback about the internal state of the device under test.