Entitled "Trusted Sensor Integration", the Phase I STTR focuses on building both analytical/statistical and Machine Learning based models of the static and dynamic behavior of individual sensors and systems. The proposed solution uses the imperfections of the sensor in translating the physical input to a numeric output to derive a fingerprint. It will stimulate a simple cyber-physical system, e.g. an engine, to measure the sensor output, and to feed both stimulation signals and sensor outputs into an RNN. A realistic training here depends on the realistic stimulation. As stated in the original solicitation titled "Cyber Resilience of Condition Based Monitoring Capabilities", The project, carried out in collaboration between ObjectSecurity LLC and subcontractor Mississippi State University, aims for successful technology development and transition that will result in a secure CBM sensor node that can minimize human intervention and reduce the number of machinery overhauls, shorten time spent in depot for repairs, and optimize maintenance logistics by at least 50%.