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A Survey on Encrypted Network Traffic Analysis Applications, Techniques, and Countermeasures
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A multilevel taxonomy and requirements for an optimal traffic‐classification model
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OTTer: A Scalable High-Resolution Encrypted Traffic Identification Engine
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No Place to Hide that Bytes Won’t Reveal: Sniffing Location-Based Encrypted Traffic to Track a User’s Position
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Early Recognition of Encrypted Applications
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The NIDS Cluster: Scalable, Stateful Network Intrusion Detection on Commodity Hardware
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Gnort: High Performance Network Intrusion Detection Using Graphics Processors
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Regular Expression Matching on Graphics Hardware for Intrusion Detection
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Website Fingerprinting and Identification Using Ordered Feature Sequences
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Deep packet: a novel approach for encrypted traffic classification using deep learning
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A survey of deep learning-based network anomaly detection
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“Andromaly”: a behavioral malware detection framework for android devices
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Survey on SDN based network intrusion detection system using machine learning approaches
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A review on machine learning–based approaches for Internet traffic classification
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A hardware platform for network intrusion detection and prevention
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MIMETIC: Mobile encrypted traffic classification using multimodal deep learning
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Mobile malware detection through analysis of deviations in application network behavior
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Multi-classification approaches for classifying mobile app traffic
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The rise of traffic classification in IoT networks: A survey
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Toward effective mobile encrypted traffic classification through deep learning
inferredcites →https://doi.org/10.1109/access.2017.2747560openalex-snapshot
Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things
inferredcites →https://doi.org/10.1109/access.2019.2912896openalex-snapshot
A Survey of Techniques for Mobile Service Encrypted Traffic Classification Using Deep Learning
inferredcites →https://doi.org/10.1109/access.2020.2969015openalex-snapshot
Traffic Fingerprinting Attacks on Internet of Things Using Machine Learning
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Head(er)Hunter: Fast Intrusion Detection using Packet Metadata Signatures
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Fingerprinting BitTorrent Traffic in Encrypted Tunnels Using Recurrent Deep Learning
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Smartphone reconnaissance: Operating system identification
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I know what you did on your smartphone: Inferring app usage over encrypted data traffic
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Deep Learning in Mobile and Wireless Networking: A Survey
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EndBox: Scalable Middlebox Functions Using Client-Side Trusted Execution
inferredcites →https://doi.org/10.1109/eurosp.2016.40openalex-snapshot
AppScanner: Automatic Fingerprinting of Smartphone Apps from Encrypted Network Traffic
inferredcites →https://doi.org/10.1109/eurosp.2018.00018openalex-snapshot
TARANET: Traffic-Analysis Resistant Anonymity at the Network Layer
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IEEE Global Telecommunications Conference, 2004. GLOBECOM '04.
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YouTube QoE Estimation Based on the Analysis of Encrypted Network Traffic Using Machine Learning
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Combating Against Attacks on Encrypted Protocols
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Proceedings of the 12th IEEE International Conference on Network Protocols, 2004. ICNP 2004.
inferredcites →https://doi.org/10.1109/infcom.2012.6195638openalex-snapshot
Transparent acceleration of software packet forwarding using netmap
inferredcites →https://doi.org/10.1109/infocom.2016.7524526openalex-snapshot
Privacy-preserving deep packet inspection in outsourced middleboxes
inferredcites →https://doi.org/10.1109/infocom.2018.8486321openalex-snapshot
Real-time Video Quality of Experience Monitoring for HTTPS and QUIC
inferredcites →https://doi.org/10.1109/ipccc47392.2019.8958721openalex-snapshot
I Know What You Are Doing With Remote Desktop
inferredcites →https://doi.org/10.1109/ispass.2009.4919649openalex-snapshot
Evaluating GPUs for network packet signature matching
inferredcites →https://doi.org/10.1109/iwmn.2019.8805044openalex-snapshot
Machine Learning and Deep Learning Based Traffic Classification and Prediction in Software Defined Networking
inferredcites →https://doi.org/10.1109/iwqos.2016.7590446openalex-snapshot
TrafficAV: An effective and explainable detection of mobile malware behavior using network traffic
inferredcites →https://doi.org/10.1109/jcn.2011.6157418openalex-snapshot
SplitScreen: Enabling efficient, distributed malware detection
inferredcites →https://doi.org/10.1109/jiot.2019.2901348openalex-snapshot
Capsule Network Assisted IoT Traffic Classification Mechanism for Smart Cities
inferredcites →https://doi.org/10.1109/jiot.2020.2978261openalex-snapshot
Privacy-Preserving Packet Header Checking Over in-the-Cloud Middleboxes
inferredcites →https://doi.org/10.1109/malware.2017.8323961openalex-snapshot
TARN: A SDN-based traffic analysis resistant network architecture
inferredcites →https://doi.org/10.1109/milcis.2015.7348942openalex-snapshot
UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)
inferredcites →https://doi.org/10.1109/msr.2017.11openalex-snapshot
Who You Gonna Call? Analyzing Web Requests in Android Applications
inferredcites →https://doi.org/10.1109/netsoft48620.2020.9165447openalex-snapshot
Pythia: Scheduling of Concurrent Network Packet Processing Applications on Heterogeneous Devices
inferredcites →https://doi.org/10.1109/noms47738.2020.9110319openalex-snapshot
Using TLS Fingerprints for OS Identification in Encrypted Traffic
inferredcites →https://doi.org/10.1109/padsw.2018.8644924openalex-snapshot
Towards Privacy-Preserving Malware Detection Systems for Android
inferredcites →https://doi.org/10.1109/percomw.2019.8730787openalex-snapshot
Protecting IoT-environments against Traffic Analysis Attacks with Traffic Morphing
inferredcites →https://doi.org/10.1109/pst44045.2018openalex-snapshot
2018 16th Annual Conference on Privacy, Security and Trust (PST)
inferredcites →https://doi.org/10.1109/sarnof.2007.4567341openalex-snapshot
An architecture for exploiting multi-core processors to parallelize network intrusion prevention
inferredcites →https://doi.org/10.1109/secpri.2000.848445openalex-snapshot
Practical techniques for searches on encrypted data
inferredcites →https://doi.org/10.1109/sp.2012.28openalex-snapshot
Peek-a-Boo, I Still See You: Why Efficient Traffic Analysis Countermeasures Fail
inferredcites →https://doi.org/10.1109/sp.2015.27openalex-snapshot
Riposte: An Anonymous Messaging System Handling Millions of Users
inferredcites →https://doi.org/10.1109/sp40001.2021openalex-snapshot
2021 IEEE Symposium on Security and Privacy (SP)
inferredcites →https://doi.org/10.1109/tetci.2017.2772792openalex-snapshot
A Deep Learning Approach to Network Intrusion Detection
inferredcites →https://doi.org/10.1109/tifs.2015.2478741openalex-snapshot
Analyzing Android Encrypted Network Traffic to Identify User Actions
inferredcites →https://doi.org/10.1109/tifs.2017.2737970openalex-snapshot
Robust Smartphone App Identification via Encrypted Network Traffic Analysis
inferredcites →https://doi.org/10.1109/tmc.2016.2516020openalex-snapshot
Service Usage Classification with Encrypted Internet Traffic in Mobile Messaging Apps
inferredcites →https://doi.org/10.1109/tmc.2018.2866249openalex-snapshot
Classifying IoT Devices in Smart Environments Using Network Traffic Characteristics
inferredcites →https://doi.org/10.1109/tnet.2016.2642338openalex-snapshot
Efficient Software Packet Processing on Heterogeneous and Asymmetric Hardware Architectures
inferredcites →https://doi.org/10.1109/tnet.2017.2753044openalex-snapshot
SPABox: Safeguarding Privacy During Deep Packet Inspection at a MiddleBox
inferredcites →https://doi.org/10.1109/tnse.2019.2901994openalex-snapshot
A Dive into the Dark Web: Hierarchical Traffic Classification of Anonymity Tools
inferredcites →https://doi.org/10.1109/tnsm.2009.090604openalex-snapshot
Histogram-based traffic anomaly detection
inferredcites →https://doi.org/10.1109/tnsm.2019.2899085openalex-snapshot
Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges
inferredcites →https://doi.org/10.1109/waina.2008.145openalex-snapshot
A GPU-Based Multiple-Pattern Matching Algorithm for Network Intrusion Detection Systems
inferredcites →https://doi.org/10.1109/wincom.2016.7777224openalex-snapshot
Deep learning approach for Network Intrusion Detection in Software Defined Networking
inferredcites →https://doi.org/10.1145/1129582.1129589openalex-snapshot
Traffic classification on the fly
inferredcites →https://doi.org/10.1145/1180405.1180437openalex-snapshot
Inferring the source of encrypted HTTP connections
inferredcites →https://doi.org/10.1145/1280940.1280966openalex-snapshot
Tracing back attacks against encrypted protocols
inferredcites →https://doi.org/10.1145/1755913openalex-snapshot
Proceedings of the 5th European conference on Computer systems
inferredcites →https://doi.org/10.1145/2046556.2046570openalex-snapshot
Website fingerprinting in onion routing based anonymization networks
inferredcites →https://doi.org/10.1145/2660267.2660368openalex-snapshot
A Critical Evaluation of Website Fingerprinting Attacks
inferredcites →https://doi.org/10.1145/2663716.2663745openalex-snapshot
OS Fingerprinting and Tethering Detection in Mobile Networks
inferredcites →https://doi.org/10.1145/2677046.2677048openalex-snapshot
Traffic Analysis of Encrypted Messaging Services
inferredcites →https://doi.org/10.1145/2939918.2939929openalex-snapshot
Can Android Applications Be Identified Using Only TCP/IP Headers of Their Launch Time Traffic?
inferredcites →https://doi.org/10.1145/2987443.2987459openalex-snapshot
Measuring Video QoE from Encrypted Traffic
inferredcites →https://doi.org/10.1145/3097983.3098049openalex-snapshot
Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams
inferredcites →https://doi.org/10.1145/3097983.3098163openalex-snapshot
Machine Learning for Encrypted Malware Traffic Classification
inferredcites →https://doi.org/10.1145/3326285.3329053openalex-snapshot
Encrypted traffic classification of decentralized applications on ethereum using feature fusion
inferredcites →https://doi.org/10.1145/3658644openalex-snapshot
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security
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Packet Momentum for Identificationof Anonymity Networks
inferredcites →https://doi.org/10.14722/ndss.2016.23477openalex-snapshot
Website Fingerprinting at Internet Scale
inferredcites →https://doi.org/10.14722/ndss.2017.23456openalex-snapshot
The Security Impact of HTTPS Interception
inferredcites →https://doi.org/10.14722/ndss.2017.23465openalex-snapshot
Obfuscation-Resilient Privacy Leak Detection for Mobile Apps Through Differential Analysis
inferredcites →https://doi.org/10.14722/ndss.2018.23191openalex-snapshot
Investigating Ad Transparency Mechanisms in Social Media: A Case Study of Facebook's Explanations
inferredcites →https://doi.org/10.14722/ndss.2019.23511openalex-snapshot
The use of TLS in Censorship Circumvention
inferredcites →https://doi.org/10.21236/ada465464openalex-snapshot
Tor: The Second-Generation Onion Router
inferredcites →https://doi.org/10.23919/ifipnetworking.2019.8816854openalex-snapshot
From Network Traffic Measurements to QoE for Internet Video
inferredcites →https://doi.org/10.3390/s19143052openalex-snapshot
Hierarchical Identifier: Application to User Privacy Eavesdropping on Mobile Payment App
inferredcites →https://doi.org/10.3390/s21041140openalex-snapshot
Acceleration of Intrusion Detection in Encrypted Network Traffic Using Heterogeneous Hardware
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Dissent in numbers: making strong anonymity scale
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A survey of methods for encrypted traffic classification and analysis
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Lightweight Deep Learning Framework for Encrypted Traffic Classification via Visual Flow Representation
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Positional Packet Capture for Anomaly Detection in Multitenant Virtual Networks
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VT-GAT: A Novel VPN Encrypted Traffic Classification Model Based on Graph Attention Neural Network
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Evading Encrypted Traffic Classifiers by Transferable Adversarial Traffic
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Network Automation: From Intent-Based Networking to Cloud-Native Networking
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Developing a Traffic Analysis Suite for Modified Packet Capture File
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Machine Learning Metrics for Network Datasets Evaluation
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Encrypted Network Traffic Analysis
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Classification of Encrypted Network Traffic
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MSP: A Zero-Latency Lightweight Website Fingerprinting Defense for Tor Network
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Enhancing Cybersecurity with Advanced Dataset Features: Improving Machine Learning Algorithms and Intrusion Detection Systems
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FullView: Using Bidirectional Group Sequences to Achieve Accurate Encrypted Traffic Classification
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A Review of Deep Packet Inspection for Network Security: From Traditional Techniques to Machine Learning Integration
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Cost-Effective Convolutional Neural Network for Network Traffic Data Classification
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AEGIS: A Multi-agent Collaborative Framework with Adversarial Self-Play for Encrypted Malware Traffic Detection
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PacketMorph: Generation of Recoverable Adversarial Packets Against Encrypted Traffic Classification via Class-Wise Universal Perturbation
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DE-MFLA: Lightweight Packet-Level Encrypted Traffic Classification via Dual-Branch Embedding and Multi-flow Linear Attention
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FSAM Framework for Online CDN-Based Website Classification
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Real-Time Anomaly Detection System for Network Administrators
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AGAE: Unsupervised Anomaly Detection for Encrypted Malicious Traffic
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Packet header-based reweight-long short term memory (Rew-LSTM) method for encrypted network traffic classification
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STFNT: An encrypted traffic classification method integrating TLS handshake features and spatiotemporal characteristics
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A Model of Encrypted Network Traffic Classification that Trades Off Accuracy and Efficiency
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EMLF-ETD: An efficient multi-level feature representation approach for encrypted traffic detection in variable-length traffic sessions
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A comprehensive survey on encrypted network traffic classification
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SaGNN: Encrypted traffic classification with semantic-aware heterogeneous graph neural network
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A novel and effective encrypted traffic classification method based on channel attention and deformable convolution
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Datasets are not enough: Challenges in labeling network traffic
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Federated learning for reliable model updates in network-based intrusion detection
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Hierarchical Perception for Encrypted Traffic Classification via Class Incremental Learning
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All your TLS keys are belong to Us: A novel approach to live memory forensic key extraction
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Fingerprinting RTC applications via RTP header extensions
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Software-Defined Networking approaches for intrusion response in Industrial Control Systems: A survey
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Cybersecurity for self-healing distribution automation: a comparative review of centralized, distributed, and hybrid architectures
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Security-driven prioritization for tactical mobile networks
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Evolution of web tracking protection in Chrome
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Efficient regular expression matching over hybrid dictionary-based compressed data
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Multi-ARCL: Multimodal adaptive relay-based distributed continual learning for encrypted traffic classification
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Secured cloud-based image data processing of self-driving vehicles using full homomorphic encryption
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Deep learning and pre-training technology for encrypted traffic classification: A comprehensive review
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Neural cryptography: Synergy and conflict between neural networks and cryptographic systems
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TAO-Net: Two-stage Adaptive OOD classification Network for fine-grained encrypted traffic classification
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Analysis of security and privacy challenges of smart health and sensing systems
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Making Ecosystem Modeling Operational–A Novel Distributed Execution Framework to Systematically Explore Ecological Responses to Divergent Climate Trajectories
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A Real Network Environment Dataset for Traffic Analysis
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A novel encrypted traffic detection model based on detachable convolutional GCN-LSTM
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A critical review on the convergence of blockchain and machine learning in deep packet inspection systems to enhance network traffic security, performance and management
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RTsFCM: a robust two-stage flow correlation method for traffic tracking in anonymous communication
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Collaborative optimization based on DQN and GMM for traffic analysis and resource scheduling
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SimCSE for Encrypted Traffic Detection and Zero-Day Attack Detection
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CBS: A Deep Learning Approach for Encrypted Traffic Classification With Mixed Spatio-Temporal and Statistical Features
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Traffic Divergence Theory: An Analysis Formalism for Dynamic Networks
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From Bytes to Insights: A Systematic Literature Review on Unraveling IDS Datasets for Enhanced Cybersecurity Understanding
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Enhancing Safety and Privacy in Industry 4.0: The ICE Laboratory Case Study
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Evaluation of Uplink Video Streaming QoE in 4G and 5G Cellular Networks Using Real-World Measurements
inferred← citeshttps://doi.org/10.1109/access.2025.3592152openalex-snapshot
VPN Traffic Analysis: A Survey on Detection and Application Identification
inferred← citeshttps://doi.org/10.1109/acit69831.2026.11700137openalex-snapshot
Method for Detecting Denial-of-Service Attacks Based on Statistical Analysis of the Temporal Dynamics of Network Traffic
inferred← citeshttps://doi.org/10.1109/aetcse69203.2026.11503922openalex-snapshot
SCLA: A Hybrid Deep Learning Model for Application Traffic Classification via Spatial-Temporal Feature Fusion
inferred← citeshttps://doi.org/10.1109/aetcse69203.2026.11504312openalex-snapshot
HG-CL: Heterogeneous Graph Contrastive Learning for Encrypted Malicious Traffic Detection with Scarce Labels
inferred← citeshttps://doi.org/10.1109/aibthings66987.2025.11296178openalex-snapshot
Enhancing Data Transmission Efficiency in Computer Networks Using Hybrid SVM and Deep Neural Networks for Traffic Classification
inferred← citeshttps://doi.org/10.1109/aic66080.2025.11212203openalex-snapshot
Application of Traffic Monitoring and Intelligent Routing Algorithms in Optimizing Course Resource Network Transmission
inferred← citeshttps://doi.org/10.1109/c4d65382.2025.11306467openalex-snapshot
Deep Learning for Ransomware Detection in Encrypted Traffic
inferred← citeshttps://doi.org/10.1109/ccnc51644.2023.10060390openalex-snapshot
I See What You're Watching on Your Streaming Service: Fast Identification of DASH Encrypted Network Traces
inferred← citeshttps://doi.org/10.1109/ccnc51664.2024.10454807openalex-snapshot
Hidden in Time, Revealed in Frequency: Spectral Features and Multiresolution Analysis for Encrypted Internet Traffic Classification
inferred← citeshttps://doi.org/10.1109/cisce69494.2026.11504523openalex-snapshot
HBA-Net: Enhancing Encrypted Traffic Classification with a Heterogeneous Graph Model of Byte-Level Header-Payload Interactions
inferred← citeshttps://doi.org/10.1109/cns62487.2024.10735492openalex-snapshot
SecBeam: Securing mmWave Beam Alignment Against Beam-Stealing Attacks
inferred← citeshttps://doi.org/10.1109/comst.2024.3488580openalex-snapshot
Online Network DoS/DDoS Detection: Sampling, Change Point Detection, and Machine Learning Methods
inferred← citeshttps://doi.org/10.1109/comst.2024.3504955openalex-snapshot
A Survey on Explainable Artificial Intelligence for Internet Traffic Classification and Prediction, and Intrusion Detection
inferred← citeshttps://doi.org/10.1109/comst.2025.3545541openalex-snapshot
Unmasking the Internet: A Survey of Fine-Grained Network Traffic Analysis
inferred← citeshttps://doi.org/10.1109/csat61646.2023.00070openalex-snapshot
Design of end-to-end Encryption Systems in the Digital Era
inferred← citeshttps://doi.org/10.1109/cscwd68734.2026.11581588openalex-snapshot
FlowMatch: Few-Shot Encrypted Traffic Classification with Consistency and Confidence
inferred← citeshttps://doi.org/10.1109/csitss67709.2025.11295502openalex-snapshot
Privacy-Preserving Deep Packet Inspection for Ethical Cybersecurity
inferred← citeshttps://doi.org/10.1109/dsc54232.2022.9888942openalex-snapshot
Network Intrusion Detection in Encrypted Traffic
inferred← citeshttps://doi.org/10.1109/dsc63484.2024.00066openalex-snapshot
An Encrypted Malicious Traffic Detection Method Based on Deeper Protocol Features
inferred← citeshttps://doi.org/10.1109/dsit67006.2025.11389891openalex-snapshot
Few-Shot Detection of Malicious Encrypted Traffic via Feature Enhancement
inferred← citeshttps://doi.org/10.1109/ecti-con64996.2025.11101120openalex-snapshot
Mitigating Cybercrime Through Automated Darknet Traffic Detection Using CNNs
inferred← citeshttps://doi.org/10.1109/etfa61755.2024.10711134openalex-snapshot
Efficient Machine Learning-Based Security Monitoring and Cyberattack Classification of Encrypted Network Traffic in Industrial Control Systems
inferred← citeshttps://doi.org/10.1109/gaiis69281.2026.11519208openalex-snapshot
MC-ETC:A Robust Multi-View Flow-Level Encrypted Traffic Classification Method Based on Co-Training
inferred← citeshttps://doi.org/10.1109/gaiis69281.2026.11519230openalex-snapshot
Enhanced Encrypted IoT Malicious Traffic Detection via Adaptive Fusion and Focal Loss: An Improved Heterogeneous Graph Approach
inferred← citeshttps://doi.org/10.1109/globecom48099.2022.10000658openalex-snapshot
TrafficGCN: Mobile Application Encrypted Traffic Classification Based on GCN
inferred← citeshttps://doi.org/10.1109/globecom48099.2022.10001510openalex-snapshot
I Can Still Observe You: Flow-level Behavior Fingerprinting for Online Social Network
inferred← citeshttps://doi.org/10.1109/i-smac65734.2025.11597719openalex-snapshot
Federated Contrastive Learning for Malware Detection in TLS/QUIC Traffic Without Decryption
inferred← citeshttps://doi.org/10.1109/ic-icns68863.2026.11537832openalex-snapshot
Decryption at the Edge: eBPF-Assisted TLS Insight for Enhanced DPI
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889853openalex-snapshot
TRACE: A Robust Framework for Malicious Traffic Detection with Noisy Labels
inferred← citeshttps://doi.org/10.1109/icbase63199.2024.10762035openalex-snapshot
Dual Feature Extraction and Fusion for Malicious Traffic Detection based Transformer Encoders
inferred← citeshttps://doi.org/10.1109/icc45041.2023.10279015openalex-snapshot
$\mathcal{L}{-}$ ETC: A Lightweight Model Based on Key Bytes Selection for Encrypted Traffic Classification
inferred← citeshttps://doi.org/10.1109/icc52391.2025.11160786openalex-snapshot
Detecting Malicious Traffic Through Hypergraph Learning in Non-Terrestrial Internet of Things
inferred← citeshttps://doi.org/10.1109/icc52391.2025.11160885openalex-snapshot
Enhancing Encrypted Internet Traffic Classification Through Advanced Data Augmentation Techniques
inferred← citeshttps://doi.org/10.1109/icc59461.2026.11587847openalex-snapshot
Real-Time Encrypted Traffic Classification with P4-DPDK
inferred← citeshttps://doi.org/10.1109/iccasit62299.2024.10827950openalex-snapshot
Network Traffic Classification Based on Personalized Federated Learning
inferred← citeshttps://doi.org/10.1109/iccasit66611.2025.11348713openalex-snapshot
Classification and Identification of Encrypted Network Traffic Based on BP Neural Network Models
inferred← citeshttps://doi.org/10.1109/icce-taiwan71481.2026.11652758openalex-snapshot
Network Traffic Flow Anomaly Detection Using Transformer and DeepSVDD
inferred← citeshttps://doi.org/10.1109/iccke57176.2022.9960138openalex-snapshot
The Effect of Network Environment on Traffic Classification
inferred← citeshttps://doi.org/10.1109/iccke65377.2024.10874577openalex-snapshot
Classification of Audio Streaming in Network Traffic Based on Machine Learning Methods
inferred← citeshttps://doi.org/10.1109/icct67417.2025.11374239openalex-snapshot
Knowledge Distillation Based Lightweight Classification for Encrypted Traffic with Long Tailed Distribution
inferred← citeshttps://doi.org/10.1109/iccubea58933.2023.10392223openalex-snapshot
Advanced Network Traffic Analyzer for Military Based Applications
inferred← citeshttps://doi.org/10.1109/icdsns58469.2023.10245348openalex-snapshot
Secure Encryption Scheme for Medical Data based on Homomorphic Encryption
inferred← citeshttps://doi.org/10.1109/icecce63537.2024.10823417openalex-snapshot
Classifying 5G Encrypted Packet Traces
inferred← citeshttps://doi.org/10.1109/iceccme55909.2022.9988476openalex-snapshot
Metainformation Extraction from Encrypted Streaming Video Packet Traces
inferred← citeshttps://doi.org/10.1109/icicc63565.2024.10780767openalex-snapshot
Risk Analysis of Enterprise Cross-Network Data via DAE-BiLSTM and Fuzzy Bayesian Network
inferred← citeshttps://doi.org/10.1109/icicn52636.2021.9673915openalex-snapshot
An Unknown Protocol Clustering Analysis Method Based on Spectral Clustering
inferred← citeshttps://doi.org/10.1109/icncis67521.2025.11296104openalex-snapshot
Next-Packet Prediction with Temporal Transformer Networks: A Non-Contrastive Self-Supervised Approach for AI-Powered Cybersecurity Threat Detection
inferred← citeshttps://doi.org/10.1109/icnp61940.2024.10858503openalex-snapshot
Ptu: Pre-Trained Model for Network Traffic Understanding
inferred← citeshttps://doi.org/10.1109/icnp65844.2025.11192371openalex-snapshot
Flick: Frame-Perceptive Packet Scheduling for Low-Latency Video Services in Wi-Fi Networks
inferred← citeshttps://doi.org/10.1109/icnp65844.2025.11192382openalex-snapshot
PIPE: Identity-Aware Privacy-Enhanced Source and Path Verification for Strengthened Network Accountability
inferred← citeshttps://doi.org/10.1109/ictbig59752.2023.10456001openalex-snapshot
Encrypted Traffic Analysis for Malware Detection Using Deep Learning
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228514openalex-snapshot
Encrypted Traffic Classification with Graph Sketch-Based Traffic Representation
inferred← citeshttps://doi.org/10.1109/infocomwkshps57453.2023.10226104openalex-snapshot
Few Shot Learning Approaches for Classifying Rare Mobile-App Encrypted Traffic Samples
inferred← citeshttps://doi.org/10.1109/iscc58397.2023.10218210openalex-snapshot
Pump Up the JARM: Studying the Evolution of Botnets Using Active TLS Fingerprinting
inferred← citeshttps://doi.org/10.1109/isgteurope62998.2024.10863032openalex-snapshot
Encryption-Aware Anomaly Detection in Power Grid Communication Networks
inferred← citeshttps://doi.org/10.1109/itc-3560063.2023.10555634openalex-snapshot
Meta Mimetic: Few-Shot Classification of Mobile-App Encrypted Traffic via Multimodal Meta-Learning
inferred← citeshttps://doi.org/10.1109/itoec63606.2025.10967753openalex-snapshot
FDGM: A Lightweight Model for Privacy-Preserving Encrypted Traffic Classification
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Flow Sequence-Based Anonymity Network Traffic Identification with Residual Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1109/iwqos70441.2026.11661019openalex-snapshot
Odysseus: A Context-Level Pre-training Framework for Out-of-Distribution Encrypted Traffic Classification
inferred← citeshttps://doi.org/10.1109/jiot.2023.3294259openalex-snapshot
A Lightweight and Efficient IoT Intrusion Detection Method Based on Feature Grouping
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Lightweight Hybrid Device Identification for IoT Applications
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Protect NTN-IoT Security by Malicious Traffic Detection: A Multidimensional Hypergraph Learning Approach
inferred← citeshttps://doi.org/10.1109/jiot.2025.3593143openalex-snapshot
DLET-Classifier: A Dynamic and Lightweight Method for Encrypted Traffic Classification
inferred← citeshttps://doi.org/10.1109/jiot.2025.3596167openalex-snapshot
Lightweight Identification of Malicious IoT Traffic via Cross-View Knowledge Distillation
inferred← citeshttps://doi.org/10.1109/latincom56090.2022.10000503openalex-snapshot
A Dynamic Method to Protect User Privacy Against Traffic-based Attacks on Smart Home
inferred← citeshttps://doi.org/10.1109/lcn67947.2026.11660777openalex-snapshot
GETA: Generalized Encrypted Traffic Analysis
inferred← citeshttps://doi.org/10.1109/lcn67947.2026.11660815openalex-snapshot
6Digger: An IPv6 Target Generation Algorithm Based on Address Pattern Mining
inferred← citeshttps://doi.org/10.1109/milcom55135.2022.10017699openalex-snapshot
Positive and Unlabeled Learning for Mobile Application Traffic Classification
inferred← citeshttps://doi.org/10.1109/mn60932.2024.10615423openalex-snapshot
An Electromagnetic Side-Channel-Based Security Level Detection Measurement Approach in Content Transfer Remote Mechanisms
inferred← citeshttps://doi.org/10.1109/mrie66930.2025.11156324openalex-snapshot
Securing Network Traffic with Smart Ant: An android application for Real-Time Monitoring and Anomaly Detection
inferred← citeshttps://doi.org/10.1109/msn60784.2023.00082openalex-snapshot
A Hypernetwork-based Personalized Federated Learning Framework for Encrypted Traffic Classification
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A Traceability Method for Bitcoin Transactions Based on Gateway Network Traffic Analysis
inferred← citeshttps://doi.org/10.1109/netsoft70012.2026.11603512openalex-snapshot
LoFi: Low-Cost Early Application Filter Based on Cached ML Decisions
inferred← citeshttps://doi.org/10.1109/nmitcon65824.2025.11187849openalex-snapshot
Real-Time Classification of TLS ClientHello Packets Using Graph SAGE
inferred← citeshttps://doi.org/10.1109/noms54207.2022.9789877openalex-snapshot
HTTPS Event-Flow Correlation: Improving Situational Awareness in Encrypted Web Traffic
inferred← citeshttps://doi.org/10.1109/ojcoms.2025.3577016openalex-snapshot
LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis
inferred← citeshttps://doi.org/10.1109/ojvt.2026.3666994openalex-snapshot
A Dynamic Traffic Camouflage Method Based on Adversarial Machine Learning for Connected Vehicles
inferred← citeshttps://doi.org/10.1109/sec62691.2024.00053openalex-snapshot
A Comparison Between Classical and Quantum Machine Learning for Mobile App Traffic Classification
inferred← citeshttps://doi.org/10.1109/sin63213.2024.10871430openalex-snapshot
Performance Evaluation of Quantum-Secure Symmetric Key Agreement
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Helol Tunnel: Covert Channel Exploitation of TLS Extensibility & Privacy Features
inferred← citeshttps://doi.org/10.1109/swc62898.2024.00369openalex-snapshot
A Survey of Machine Learning-based TLS 1.3 Encrypted Traffic Analysis
inferred← citeshttps://doi.org/10.1109/tai.2023.3244168openalex-snapshot
Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification
inferred← citeshttps://doi.org/10.1109/tccn.2024.3400825openalex-snapshot
GETRF: A General Framework for Encrypted Traffic Identification With Robust Representation Based on Datagram Structure
inferred← citeshttps://doi.org/10.1109/tccn.2026.3658756openalex-snapshot
NFTracker: Fine-Grained NFT Behavior Traffic Identification Over Encrypted Tunnel
inferred← citeshttps://doi.org/10.1109/tce.2024.3471573openalex-snapshot
Secure and Trustworthy Data Management Mechanism for Dance-Consumer Electronics in AIoT
inferred← citeshttps://doi.org/10.1109/tdsc.2026.3677663openalex-snapshot
Learning Flow Semantics for Encrypted Traffic Analysis: A Contrastive Pre-Training Approach
inferred← citeshttps://doi.org/10.1109/tifs.2023.3266173openalex-snapshot
Website-Aware Protocol Confusion Network for Emergent HTTP/3 Website Fingerprinting
inferred← citeshttps://doi.org/10.1109/tifs.2025.3565994openalex-snapshot
WF-A2D: Enhancing Privacy With Asymmetric Adversarial Defense Against Website Fingerprinting
inferred← citeshttps://doi.org/10.1109/tifs.2025.3571661openalex-snapshot
Side-Channel Attacks and New Principles in the Shuffle Model of Differential Privacy
inferred← citeshttps://doi.org/10.1109/tifs.2025.3578917openalex-snapshot
Passive Multi-User Traffic Analysis Based on 5G NR/LTE Physical Layer
inferred← citeshttps://doi.org/10.1109/tifs.2025.3613971openalex-snapshot
Flow Microelement-Driven Traffic Relationship Analysis: Robust Detection of Malicious Encrypted Traffic
inferred← citeshttps://doi.org/10.1109/tifs.2025.3643127openalex-snapshot
BPF-DAG: Byte-Packet-Flow Features Fusion via Dynamic Attributed Graph for Reliable Encrypted Traffic Classification
inferred← citeshttps://doi.org/10.1109/tifs.2026.3653575openalex-snapshot
End-to-End Open-Set Semi-Supervised Learning for Fine-Grained Encrypted Traffic Classification
inferred← citeshttps://doi.org/10.1109/tnet.2023.3335253openalex-snapshot
A Novel Self-Supervised Framework Based on Masked Autoencoder for Traffic Classification
inferred← citeshttps://doi.org/10.1109/tnet.2024.3370851openalex-snapshot
Flow Interaction Graph Analysis: Unknown Encrypted Malicious Traffic Detection
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Encrypted Traffic Detection in Resource Constrained IoT Networks: A Diffusion Model and LLM Integrated Framework
inferred← citeshttps://doi.org/10.1109/tnsm.2022.3233673openalex-snapshot
Data Instrumentation From IoT Network Traffic as Support for Security Management
inferred← citeshttps://doi.org/10.1109/tnsm.2024.3402074openalex-snapshot
A Machine Learning-Based Toolbox for P4 Programmable Data-Planes
inferred← citeshttps://doi.org/10.1109/tnsm.2026.3651599openalex-snapshot
TrafficAudio: Audio Representation for Lightweight Encrypted Traffic Classification in IoT
inferred← citeshttps://doi.org/10.1109/tnsm.2026.3688767openalex-snapshot
Neural Collapse-Based Class-Incremental Learning for Encrypted Traffic Classification
inferred← citeshttps://doi.org/10.1109/tnsm.2026.3725912openalex-snapshot
HyTMTC: A Pre-Training Method for Multi-Scenario Network Traffic Classification With Hybrid Transformer-Mamba
inferred← citeshttps://doi.org/10.1109/ton.2025.3580557openalex-snapshot
Nüwa: Enhancing Network Traffic Analysis With Pre-Trained Side-Channel Feature Imputation
inferred← citeshttps://doi.org/10.1109/ton.2026.3699540openalex-snapshot
SRViT: A Robust Online Encrypted Traffic Classification Based on Vision Transformer
inferred← citeshttps://doi.org/10.1109/trustcom60117.2023.00079openalex-snapshot
Parallel Pattern Matching over Brotli Compressed Network Traffic
inferred← citeshttps://doi.org/10.1109/trustcom63139.2024.00060openalex-snapshot
M-ETC: Improving Multi-Task Encrypted Traffic Classification by Reducing Inter-Task Interference
inferred← citeshttps://doi.org/10.1109/trustcom63139.2024.00157openalex-snapshot
FREDet: Fine-Grained Malicious Traffic Detection Based on Frequency Domain Features
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