Abstract:
Instant Messaging Applications (IMAs), such as WhatsApp and Messenger, have become one of the main communication tools for smartphone users. However, there is limited res...Show MoreMetadata
Abstract:
Instant Messaging Applications (IMAs), such as WhatsApp and Messenger, have become one of the main communication tools for smartphone users. However, there is limited research analyzing the nature of encrypted network traffic produced by IMAs. In this paper, we employ a data driven approach using machine learning classification models to analyze and identify encrypted traffic from six different IMAs. Our results show that it is possible to distinguish the behaviour of different IMAs with high F1 scores.
Date of Conference: 08-12 May 2023
Date Added to IEEE Xplore: 21 June 2023
ISBN Information: