Encrypted Traffic Classification Datasets

Eleven application detection datasets have been created for use in training and testing AI-based encrypted network traffic classification models.

File Naming Convention: All files under the name {IMA-name}_encrypted_traffic.pcap contain the encrypted traffic resulting from the corresponding IMA. Similarly, all files under the name {IMA-name}_encrypted_traffic_flows.txt contain the text-based description of flows we used to build our models. No timestamps are added as they are already contained in the .pcap files.

They can be used to train/test/evaluate models: 1 Mobile Instant Messaging text chat traffic (publicly available at IEEE DataPort https://ieee-dataport.org/documents/encrypted-mobile-instant-messaging-traffic-dataset; 1 text-based Instant messaging group chat; 1 VoIP-based Instant messaging group chat; 2 datasets with streaming audio and video traffic and OTT applications; 3 datasets with Instant Messaging applications – wireline and mobile; 1 datasets with Google Applications; 1 dataset on social media captured using bots; 1 dataset with mix of streaming video, social media, interactive live stream.

The data can be used for model training for Machine Learning or Deep Learning experiments.

Researchers in the area of Network Traffic Analysis. Researchers can be from Academia or Industry.

The terms of reuse is dictated by IEEE Dataport licensing agreement.