LEARNED PROFILES FOR MALICIOUS ENCRYPTED NETWORK TRAFFIC IDENTIFICATION

摘要

The disclosure relates to detection of malicious network communications. In one embodiment, a method for identifying malicious encrypted network traffic associated with a malware software component communicating via a network is disclosed. The method includes training a neural network based on images for extracted portions of network traffic such that subsequent network traffic can be classified by the neural network to identify malicious network traffic associated with malware based on an image generated to represent a defined portion of the subsequent network traffic.