Note:

• ⭐ Please leave a STAR if you like this project! ⭐
• If you find any incorrect / inappropriate / outdated content, please kindly consider opening an issue or a PR.
• We would greatly appreciate your contribution to this list, and you will appear in the contributors✨!

• About
• Dataset
• Survey
• Network Traffic Classification
• IPv6
• Blogs
• Libraries and Frameworks

This is a current list of resources related to the research and development of encrypted traffic analysis.

• Canadian Institute for Cybersecurity Datasets (DNS, IDS, DoS, Darknet, Tor, VPN, Botnet, Malware)
• Cross-Platform (iOS and Android Apps)
• Malware Capture Facility Project (Malware)
• CSTNET-TLS 1.3 (TLS 1.3 services)

• Deep Learning for Encrypted Traffic Classification: An Overview. Shahbaz Rezaei. IEEE Communications Magazine 2019.
• Towards the Deployment of Machine Learning Solutions in Network Traffic Classification: A Systematic Survey. Fannia Pacheco. IEEE Communications Surveys & Tutorials 2019.
• Deep Learning in Mobile and Wireless Networking: A Survey. Chaoyun Zhang. IEEE Communications Surveys & Tutorials 2019.

• Classifying encrypted traffic using adaptive fingerprints with multi-level attributes. Chang Liu. WWW Journal 2021.
• FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic. van Ede, Thijs. NDSS 2020. [code]
• FS-Net: A Flow Sequence Network For Encrypted Traffic Classification. Chang Liu. INFOCOM 2019. [code]
• MaMPF: Encrypted Traffic Classification Based on Multi-Attribute Markov Probability Fingerprints. Chang Liu. IWQoS 2018. [code]
• AppScanner: Automatic Fingerprinting of Smartphone Apps from Encrypted Network Traffic. Vincent F. Taylor. EuroS&P 2016. [code]

• Online Website Fingerprinting: Evaluating Website Fingerprinting Attacks on Tor in the Real World. Giovanni Cherubin. Usenix Security 2022.
• BAPM: Block Attention Profiling Model for Multi-tab Website Fingerprinting Attacks on Tor. Zhong Guan. ACSAC 2021.
• Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning. Payap Sirinam. CCS 2018. [code]

• Walls Have Ears: Traffic-based Side-channel Attack in Video Streaming. Jiaxi Gu. IEEE INFOCOM 2018.

• ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification. Xinjie Lin. WWW 2022. [code]

• Triplet Fingerprinting: More Practical and Portable Website Fingerprinting with N-shot Learning. Payap Sirinam. CCS 2019. [code]

• CETAnalytics: Comprehensive effective traffic information analytics for encrypted traffic classification (Generalization)

• 6GAN: IPv6 Multi-Pattern Target Generation via Generative Adversarial Nets with Reinforcement Learning. Tianyu Cui. INFOCOM 2021. [code]
• SiamHAN: IPv6 Address Correlation Attacks on TLS Encrypted Traffic via Siamese Heterogeneous Graph Attention Network. Tianyu Cui. USENIX 2021. [code]
• 6VecLM: Language Modeling in Vector Space for IPv6 Target Generation. Tianyu Cui. ECML/PKDD 2020. [code]

• Icoding_F2014

• Tshark

• pyshark

• flowcontainer
• scapy
• wireshark
• pyshark
• Cisco Talos
• Proxifier

Version 1.0

April 15, 2022

1. Welcome to the Ph.Ds from IIE,CAS.

Thanks goes to these wonderful people!

Xinjie Lin 🎯 📝 📔

Tianyu Cui 🎯

Minghao Jiang 🎯

Zhong Guan 🎯 📝

Wei Cai 🎯