Systems, methods, and apparatuses for intrusion detection and analytics using power characteristics such as side-channel information collection

Abstract

Some embodiments described herein include a system that collects and learns reference side-channel normal activity, process it to reveal key features, compares subsequent collected data and processed data for anomalous behavior, and reports such behavior to a management center where this information is displayed and predefine actions can be executed when anomalous behavior is observed. In some instances, a physical side channel (e.g. and indirect measure of program execution such as power consumption or electromagnetic emissions and other physical signals) can be used to assess the execution status in a processor or digital circuit using an external monitor and detect, with extreme accuracy, when an unauthorized execution has managed to disrupt the normal operation of a target system (e.g., a computer system, etc.).