Learning communication patterns for malware discovery in HTTPs data

Encrypted communication on the Internet using the HTTPs protocol represents a challenging task for network intrusion detection systems. While it significantly helps to preserve users’ privacy, it also limits a detection system’s ability to understand the traffic and effectively identify malicious activities. In this work, we propose a method for modeling and representation of encrypted communication from logs of web communication. The idea is...