Malicious activity detection by modeling end-point events as sequences

Abstract

Systems and methods for detecting malicious activity on an endpoint, the endpoint having executing processes, including tracking behavior of executing processes, generating a provenance graph to group the behavior events, transforming the provenance graph into a sequence of behavior events, training a sequence classification machine learning model based on the sequence of behavior events, processing a sequence of test behavior events using the sequence classification machine learning model to generate a probability of maliciousness, and alerting for malicious activity when the probability of maliciousness for the sequence of test behavior events is greater than a threshold.

CPC Classifications