Note:
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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]
Version 1.0
April 15, 2022
- Welcome to the Ph.Ds from IIE,CAS.
Thanks goes to these wonderful people!
Xinjie Lin 🎯 📝 📔 |
Tianyu Cui 🎯 |
Minghao Jiang 🎯 |
Zhong Guan 🎯 📝 |
Wei Cai 🎯 |