System and method for improving measurements of an intrusion detection system by transforming one dimensional measurements into multi-dimensional images

A computer-implemented method, comprising:

• receiving a baseline measurement that includes a physical attribute of at least a processor during an enrollment period, wherein the enrollment period includes measuring the physical attribute of the processor prior to runtime operation;
• receiving a runtime measurement from a sensor regarding the physical attribute of at least the processor during runtime operation;
• outputting a multi-dimensional domain image in response to the runtime measurement;
• identify a deviation between the baseline measurement and the runtime measurement utilizing the multi-dimensional image;
• and
• execute a countermeasure operation against software ran by the processor in response to the deviation.

A system comprising:

• memory;
• a processor in communication with the memory and programmed to:
• receive a plurality of runtime measurements from a plurality of sensors regarding a physical attribute of at least a separate processor during runtime, wherein the runtime measurement is a one-dimensional measurement;
• convert each of the plurality of the runtime measurements to a multi-dimensional image;
• send the multi-dimensional image to a neural network and output a classification of the multi-dimensional image utilizing the neural network.