Cyber Health-monitoring of Electromagnetic Interference for Information Systems Tool-suite (CHEMIST)

ABSTRACT:The team will leverage AISs existing battle damage assessment (BDA) platform and UMDs heterojunction p-n diode to develop a diagnostic tool capable of detecting electromagnetic disruption (EMD) and monitoring the health of any components exposed to EMD. UMDs nanosensor will serve as a means detecting EMD, which will then trigger other software and hardware sensors within the BDA platform to measure the health of the system. The UMD nanosensor is a chemical sensor that is significantly more sensitive for detecting EMI than traditional p-n junction sensor. Once EMD has been detected, the platform will utilize multiple software and hardware sensors that capture similar information in different ways to identify any differences in output that could be caused by EMD. In addition, the sensors can be redeployed to ensure that the sensors collecting the health monitoring data were not subject to the EMD.BENEFIT:This technology will provide the U.S. government and associated contractors with mechanisms for identifying the impact of electromagnetic disruptions (EMDs) on critical computing systems and networks. Both the military and government contractors are forced to operate in areas in which EMDs are a major threat. The diagnostic tool developed under this effort will let those parties identify EMDs and its impact on target systems in near real-time to avoid critical system failure or distorted data.