most citedET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification

550 citations · 627 across the 7 of their papers we have counts for

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cs.CR2025

MalRAG: A Retrieval-Augmented LLM Framework for Open-set Malicious Traffic Identification

Xiang Luo, Chang Liu, Gang Xiong +4

Fine-grained identification of IDS-flagged suspicious traffic is crucial in cybersecurity. In practice, cyber threats evolve continuously, making the discovery of novel malicious t…

cs.CR202515 cited

Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification

Xinjie Lin, Gang Xiong, Gaopeng Gou +4

Encrypted traffic classification is highly challenging in network security due to the need for extracting robust features from content-agnostic traffic data. Existing approaches fa…

cs.CR20251 cited

DecETT: Accurate App Fingerprinting Under Encrypted Tunnels via Dual Decouple-based Semantic Enhancement

Zheyuan Gu, Chang Liu, Xiyuan Zhang +5

Due to the growing demand for privacy protection, encrypted tunnels have become increasingly popular among mobile app users, which brings new challenges to app fingerprinting (AF)-…

cs.CR20224 cited

SiamHAN: IPv6 Address Correlation Attacks on TLS Encrypted Traffic via Siamese Heterogeneous Graph Attention Network

Tianyu Cui, Gaopeng Gou, Gang Xiong +3

Unlike IPv4 addresses, which are typically masked by a NAT, IPv6 addresses could easily be correlated with user activity, endangering their privacy. Mitigations to address this pri…

cs.CR2022550 cited

ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification

Xinjie Lin, Gang Xiong, Gaopeng Gou +3

Encrypted traffic classification requires discriminative and robust traffic representation captured from content-invisible and imbalanced traffic data for accurate classification,…