Encrypted Network Traffic Analysis (ENTA) Platform: IMA VoIP Traffic Identification

This paper introduces the Encrypted Network Traffic Analysis (ENTA) platform, a scalable AI-driven system de-signed for traffic analysis with support for identifying encrypted VoIP traffic generated by instant messaging applications (IMAs). User behaviors, such as exchanging audio messages through different IMAs, are emulated, and the resulting network traffic is captured for analysis. The ENTA platform's capabilities are demonstrated in feature extraction, data pre-processing, AI model training and testing, and generating key performance indi-cators (KPIs) to assist network operations teams. This demonstration showcases the ENTA system's end-to-end functionality with a particular emphasis on accurately classifying and identifying IMA VoIP traffic.