Encrypted Network Traffic Analysis

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2 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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FlowAtom: Atom-Based Evidence Aggregation for Multi-Label Website Fingerprinting
Sep 24, 2026Chongru Fan, Wentao Huang, Wei Wang +4Multi-Label Classification Prototype Learning
School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China · Zhongguancun Laboratory, Beijing, China
ResLearn-XR: Residual Learning for Network Traffic and Quality-of-Experience-Aware Modeling in Extended Reality
Sep 7, 2026Yoga Suhas Kuruba Manjunath, Jie Gao, Lian ZhaoResidual Learning Encrypted Network Traffic Analysis
School of Information Technology, Carleton University, Ottawa, ON, K1S 5B6, Canada · Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON M5B 2K3, Canada
PCAP-LM: An LLM-Native Text Representation for TLS Bulk Traffic Analysis
Jul 30, 2026Xavier Marjou, Lucas Tamic, Ilan Jaffeux-ChenioutEncrypted Network Traffic Analysis Cybersecurity
Orange
Traffic-CBM: A Structurally Interpretable Multimodal Framework for Encrypted Traffic Classification
Jun 29, 2026Honglei Jin, Wenshuo Chen, Shaofeng Liang +6Encrypted Network Traffic Analysis Multimodal Classification
HKUST (GZ) Guangzhou, China · Shandong University Qingdao, China
ResAware: Cross-Environment Website Fingerprinting via Resource-Privileged Distillation
Jun 16, 2026Chongru Fan, Wei Wang, Wentao Huang +5Encrypted Network Traffic Analysis Cybersecurity
Beijing University of Posts and Telecommunications Beijing, China · Zhongguancun Laboratory Beijing, China
Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis
Jun 3, 2026Yuantu Luo, Jun Tao, Linxiao Yu +1Graph Neural Networks Encrypted Network Traffic Analysis
School of Cyber Science and Engineering, Southeast University, Nanjing 211189, China · Purple Mountain Laboratories, Nanjing 210096, China · Engineering Research Center of Blockchain Application, Supervision and Management (Southeast University), MoE, Nanjing 211189, Jiangsu, China +1
GETA: Generalized Encrypted Traffic Analysis
May 29, 2026Ransika Gunasekara, Rahat Masood, Salil KanhereDomain Adaptation Network Intrusion Detection
University of New South Wales (UNSW)
A Protocol-Language Model for Network Intrusion (Without Deep Packet Inspection)
May 29, 2026Vivek Kumar SharmaNetwork Intrusion Detection Encrypted Network Traffic Analysis
Palo Alto Networks
Decompose to Understand, Fuse to Detect: Frequency-Decoupled Anomaly Detection for Encrypted Network Traffic
May 3, 2026Xinglin Lian, Chengtai Cao, Ting Zhong +3Frequency-Domain Feature Learning Network Intrusion Detection
School of Information and Software Engineering, University of Electronic Science and Technology of China · Department of Computer Science, City University of Hong Kong · Department of Computer Science and Engineering, Hong Kong University of Science and Technology +1
From Packets to Patterns: Interpreting Encrypted Network Traffic as Longitudinal Behavioral Signals
May 2, 2026Rameen Mahmood, Omar El Shahawy, Souptik Barua +5Encrypted Network Traffic Analysis Time Series Representation Learning
New York University, New York, New York, USA · NYU Langone Health, New York, New York, USA · NYU Grossman School of Medicine, New York, New York, USA +3
CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection
Apr 2, 2025Diego Cajaraville-Aboy, Marta Moure-Garrido, Carlos Beis-Penedo +5Network Intrusion Detection Encrypted Network Traffic Analysis
atlanTTic Research Center – ICLAB – Universidade de Vigo, Vigo, 36310, Spain · Department of Telematic Engineering, Universidad Carlos III de Madrid, Spain
TDDM-Melatt: A Decoupled Memory and Diffusion Framework for Generalizable Encrypted Traffic Classification
Date pendingZe Chen, Qiming Yu, Zijia Song +2Memory-Augmented Neural Networks Disentangled Representation Learning
National University of Defense Technology Hefei, Anhui, China

Sep 24, 2026, cs.LGJ/K move · Enter open · S save

FlowAtom: Atom-Based Evidence Aggregation for Multi-Label Website Fingerprinting

Chongru Fan, Wentao Huang, Wei Wang, Zhenquan Ding+3

School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China · Zhongguancun Laboratory, Beijing, China

Multi-Label Classification Prototype Learning Encrypted Network Traffic Analysis Cybersecurity

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Identifying the set of monitored websites in mixed encrypted traffic is challenging because an individual flow often provides only partial evidence of website identity. To address this challenge, we propose FlowAtom, which constructs shared prototypes, called Atoms, from flow representations without website labels. Specifically, FlowAtom pretrains a flow encoder on external unlabeled traffic and aggregates Atom responses across flows within each observation window into a fixed-dimensional, permutation-invariant representation for monitored website-set prediction. Across Direct HTTPS, Trojan, and VMess, FlowAtom achieves micro-F1 scores of 97.82%, 94.43%, and 93.92% in closed-world evaluation, respectively, and consistently outperforms the evaluated baselines in open-world evaluation on windows containing monitored visits. The code is available at https://github.com/aimafan123/FlowAtom.

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