Detecting malware campaigns based on analysis of composite time series of telemetry data

Abstract

The disclosure herein describes the detection of malware campaigns based on analysis of attributes of telemetry data. Telemetry data associated with malware campaign detection includes multiple attributes and is associated with a first time interval. Statistics of a target statistic set are calculated based on a composite time series of the multiple attributes of the telemetry data. The target set is compared to a historical statistic set based on a second time interval and, based on the target set exceeding a statistic threshold of the historical set, peak detection analysis of the target set is performed. Based on the analysis indicating the presence of a valid peak result, a notification of detection of a malware campaign is sent, wherein the notification includes data indicative of the valid peak result and enables a receiver of the notification to take corrective action.