Anomaly and malware detection using side channel analysis
Abstract:
The present disclosure describes systems and methods for detecting malware. More particularly, the system includes a monitoring device that monitors side-channel activity of a target device. The monitoring device that can work in conjunction with (or independently of) a cloud-based security analytics engine to perform anomaly detection and classification on the side-channel activity. For example, the monitoring device can calculate a first set of features that are then transmitted to the security analytics engine for anomaly detection and classification.
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