Encrypted Mobile Instant Messaging Traffic Dataset

We collect encrypted traffic from six widely-used Instant Messaging Applications (IMAs) installed on an Android device for descriptive and statistical analysis. In particular, we collect traffic from: 1. Microsoft Teams, 2. Discord, 3. Facebook Messenger, 4. Signal, 5. Telegram, and 6. WhatsApp. The encrypted traffic collected from these applications are stored as individual `.pcap` file. For our research, we extract flows from these `.pcap` files using `tranalyzer` and build statistical models. Therefore, the flow dataset for each of the IMA are also contained with this dataset. Furthermore, we collect common encrypted mobile traffic that do not result from any IMA. We use such traffic to test if we can distinguish between IMA and non-IMA traffic. In particular, we collect traffic resulting from web-browsing, video streaming, and sending-emails. We also save any background traffic that does not correspond to any of these activities. These sets of encrypted traffic are also saved as `.pcap` files and their flow dataset are contained with this dataset. Lastly, we include the text conversations used to generate this dataset for any reproduction purposes.