FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic

Cited by (381)

Items 101–200 of 381

1. On Reliability of JA3 Hashes for Fingerprinting Mobile Applications
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3. Cactus: Obfuscating Bidirectional Encrypted TCP Traffic at Client Side
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4. Domain Name Security Inspection at Line Rate: Tls Sni Extraction in the Data Plane Using P4 and Dpdk
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5. Multi-Scale Convolutional Neural Networks optimized by elite strategy dung beetle optimization algorithm for encrypted traffic classification
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7. Off-Path TCP Hijacking in Wi-Fi Networks: A Packet-Size Side Channel Attack
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8. FusionTC: Encrypted App Traffic Classification Using Decision-Level Multimodal Fusion Learning of Flow Sequence
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9. WiFinger: Fingerprinting Noisy IoT Event Traffic Using Packet-level Sequence Matching
   Rong-Hua Li, Shi-Nan Liu, Hai-Bo Hu, Qing-Qing Ye, Nick Feamster · 2025 · Network and Distributed System Security Symposium
10. Wedjat: Detecting Sophisticated Evasion Attacks via Real-time Causal Analysis
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11. Poster: Towards Real-Time Intrusion Detection with Explainable AI-Based Detector
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12. BehavSniffer: Sniff User Behaviors from the Encrypted Traffic by Traffic Burst Graphs
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13. Listen to Minority: Encrypted Traffic Classification for Class Imbalance with Contrastive Pre-Training
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14. Facing Unknown: Open-World Encrypted Traffic Classification Based on Contrastive Pre-Training
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15. AppClassNet
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16. Towards Reproducible Network Traffic Analysis
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17. Classifying encrypted traffic using adaptive fingerprints with multi-level attributes
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18. Inter-Flow Spatio-Temporal Correlation Analysis Based Website Fingerprinting Using Graph Neural Network
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19. UniNet: A Unified Multi-Granular Traffic Modeling Framework for Network Security
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20. Bi-ETC: A Bidirectional Encrypted Traffic Classification Model Based on BERT and BiLSTM
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21. Zero-relabelling mobile-app identification over drifted encrypted network traffic
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22. TB-Graph: Enhancing Encrypted Malicious Traffic Classification through Relational Graph Attention Networks
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23. Multi-ARCL: Multimodal adaptive relay-based distributed continual learning for encrypted traffic classification
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24. Robust App Fingerprinting Over the Air
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25. An Encrypted Traffic Classification Approach Based on Path Signature Features and LSTM
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27. IP traffic behavior characterization via semantic mining
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28. Granular classifier: Building traffic granules for encrypted traffic classification based on granular computing
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29. A Glimpse of the Whole: Detecting Few-shot Android Malware Encrypted Network Traffic
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31. MT-FBERT: Malicious Traffic Detection Based on Efficient Federated Learning of BERT
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32. FlowletFormer: Network Behavioral Semantic Aware Pre-training Model for Traffic Classification
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33. TraGe: A Generic Packet Representation for Traffic Classification Based on Header-Payload Differences
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34. Enmob: Unveil the Behavior with Multi-flow Analysis of Encrypted App Traffic
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35. When Something Looks too Good to be True, it Usually is! AI is Causing a Credibility Crisis in Networking
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36. Multiview Correlation-Aware Network Traffic Detection on Flow Hypergraph
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37. Inferring mobile applications usage from DNS traffic
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38. Fingerprinting Industrial IoT devices based on multi-branch neural network
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39. STI: A self-evolutive traffic identification system for unknown applications based on improved random forest
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40. Locality Sensitive Hashing for Network Traffic Fingerprinting
    Nowfel Mashnoor, Jay Thom, Abdur Rouf, S. Sengupta, Batyr Charyyev · 2023 · IEEE Workshop on Local and Metropolitan Area Networks
41. TrafficGCN: Mobile Application Encrypted Traffic Classification Based on GCN
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42. METC-MVAE: Mobile Encrypted Traffic Classification With Masked Variational Autoencoders
    Wei Cai, Zhen Li, Peipei Fu, Chengshang Hou, Gang Xiong, Gaopeng Gou · 2022 · IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
43. A Novel Approach for Semi-Supervised Network Traffic Classification
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44. M3S-UPD: Efficient Multi-Stage Self-Supervised Learning for Fine-Grained Encrypted Traffic Classification With Unknown Pattern Discovery
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45. Cross-Environmental Website Fingerprinting
    Jian-Feng Li, Dongliang Wang, Yi-Xuan Liu, Yifei Gao, Xiaorong Zhang, Zheng Lin, Xiaobo Ma, Xia-Pu Luo, Xiao-Hong Guan · 2025 · IEEE Conference on Computer Communications
46. Eavesdropping Mobile Apps and Actions Through Wireless Traffic in the Open World
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47. A Game-Based Adversarial DGA Detection Scheme Using Multi-Level Incremental Random Forest
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48. A Critical Study of Few-Shot Learning for Encrypted Traffic Classification
    Elham Akbari, Sheikh A. Tahmid, Navid Malekghaini, Mohammad A. Salahuddin, Noura Limam, Raouf Boutaba, Bertrand Mathieu, Stéphanie Moteau, Stéphane Tuffin · 2023 · International Conference on Network and Service Management (CNSM)
49. MTCD-Model: A Two-Layer Model for Malicious Traffic Classification and Detection Based on Hierarchical Feature Learning
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50. A Mobile Application-Classifying Method Based on a Graph Attention Network from Encrypted Network Traffic
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51. SpBiSeq: An Early-Stage Fingerprint Generation Method with High Robustness for Encrypted Mobile Application Traffic
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52. Enhancing Detection of Malicious Traffic Through FPGA-Based Frequency Transformation and Machine Learning
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53. NetMamba+: A Framework of Pre-Trained Models for Efficient and Accurate Network Traffic Classification
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54. Encrypted Traffic Detection in Resource Constrained IoT Networks: A Diffusion Model and LLM Integrated Framework
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56. DecETT: Accurate App Fingerprinting Under Encrypted Tunnels via Dual Decouple-based Semantic Enhancement
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57. CLA-BERT: A Hybrid Model for Accurate Encrypted Traffic Classification by Combining Packet and Byte-Level Features
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58. An encrypted traffic classifier via combination of deep learning and automata learning
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59. Multi-Scale Contrastive Attention Representation Learning for Encrypted Traffic Classification
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61. A Method for Out-of-Distribution Detection in Encrypted Mobile Traffic Classification
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68. DeviceWatch: A Data-Driven Network Analysis Approach to Identifying Compromised Mobile Devices with Graph-Inference
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69. A Pipeline for DNS-Based Software Fingerprinting
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70. Browser Fingerprinting: How to Protect Machine Learning Models and Data with Differential Privacy?
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71. Passive Multi-User Traffic Analysis Based on 5G NR/LTE Physical Layer
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77. A Novel Method with Transformers for Fine-grained Encrypted Traffic Classification
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78. Characterizing Mobile Applications Through Analysis of DNS Traffic
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84. APISENSOR: Robust Discovery of Web API from Runtime Traffic Logs
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85. Time Will Tell: Criss-Cross Transformer for Encrypted Traffic Analysis
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86. Adapting Large Language Models for Encrypted Traffic Analysis Services: An Efficient Realization With Mixture of LoRA Experts
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87. PACC: Protocol-Aware Cross-Layer Compression for Compact Network Traffic Representation
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88. MET-LLM: Enhancing large language models for malicious encrypted traffic detection
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90. Nüwa: Enhancing Network Traffic Analysis With Pre-Trained Side-Channel Feature Imputation
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93. PowerApp: Mobile Apps and User Actions Identification via USB Power Channel Analysis
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98. Network Traffic Classification Based on Multilevel Spatiotemporal Feature Fusion Enhancement
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