On the public citation graph
Machine Learning for Encrypted Malware Traffic Classification
0 signed · 320 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-21606-5openalex-snapshot
The Elements of Statistical Learning
inferredcites →https://doi.org/10.1007/s11416-017-0306-6openalex-snapshot
Deciphering malware’s use of TLS (without decryption)
inferredcites →https://doi.org/10.1016/s1389-1286(99)00112-7openalex-snapshot
Bro: a system for detecting network intruders in real-time
inferredcites →https://doi.org/10.1109/34.589207openalex-snapshot
A comparative analysis of methods for pruning decision trees
inferredcites →https://doi.org/10.1109/4235.585893openalex-snapshot
No free lunch theorems for optimization
inferredcites →https://doi.org/10.1109/icnp.2016.7785325openalex-snapshot
Enhanced telemetry for encrypted threat analytics
inferredcites →https://doi.org/10.1109/sp.2010.25openalex-snapshot
Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
inferredcites →https://doi.org/10.1145/1064212.1064220openalex-snapshot
Internet traffic classification using bayesian analysis techniques
inferredcites →https://doi.org/10.1145/1071690.1064220openalex-snapshot
Internet traffic classification using bayesian analysis techniques
inferredcites →https://doi.org/10.1145/1163593.1163596openalex-snapshot
A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification
inferredcites →https://doi.org/10.1145/2347736.2347755openalex-snapshot
A few useful things to know about machine learning
inferredcites →https://doi.org/10.1145/2996758.2996768openalex-snapshot
Identifying Encrypted Malware Traffic with Contextual Flow Data
inferredcites →https://doi.org/10.17487/rfc3954openalex-snapshot
Cisco Systems NetFlow Services Export Version 9
inferredcites →https://doi.org/10.17487/rfc4492openalex-snapshot
Elliptic Curve Cryptography (ECC) Cipher Suites for Transport Layer Security (TLS)
inferredcites →https://doi.org/10.17487/rfc5246openalex-snapshot
The Transport Layer Security (TLS) Protocol Version 1.2
inferredcites →https://doi.org/10.17487/rfc7012openalex-snapshot
Information Model for IP Flow Information Export (IPFIX)
inferredcites →https://doi.org/10.17487/rfc7540openalex-snapshot
Hypertext Transfer Protocol Version 2 (HTTP/2)
inferredcites →https://doi.org/10.18637/jss.v033.i01openalex-snapshot
Regularization Paths for Generalized Linear Models via Coordinate Descent
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.1206.6389openalex-snapshot
Poisoning Attacks against Support Vector Machines
inferredcites →https://doi.org/10.48550/arxiv.1207.0580openalex-snapshot
Improving neural networks by preventing co-adaptation of feature detectors
inferredcites →https://doi.org/10.5555/1390681.1442794openalex-snapshot
LIBLINEAR: A Library for Large Linear Classification
inferredcites →https://doi.org/10.5555/1953048.2078195openalex-snapshot
Scikit-learn: Machine Learning in Python
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4045875openalex-extracted
Transfer Learning for Ransomware Attack Detection
inferred← citeshttps://doi.org/10.1002/9781119607755.ch6openalex-snapshot
Cyber‐Securing IoT Infrastructure by Modeling Network Traffic
inferred← citeshttps://doi.org/10.1002/spe.3133openalex-snapshot
Evaluating the benefits of empowering model‐driven development with a machine learning classifier
inferred← citeshttps://doi.org/10.1007/978-3-030-00006-6_25openalex-snapshot
An Encryption Traffic Analysis Countermeasure Model Based on Game Theory
inferred← citeshttps://doi.org/10.1007/978-3-030-12981-1_19openalex-snapshot
A Single-Hop Selection Strategy of VNFs Based on Traffic Classification in NFV
inferred← citeshttps://doi.org/10.1007/978-3-030-22971-9_20openalex-snapshot
Edge Computing Based Traffic Analysis System Using Broad Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-37228-6_8openalex-snapshot
Automated IoT Device Fingerprinting Through Encrypted Stream Classification
inferred← citeshttps://doi.org/10.1007/978-3-030-41579-2_1openalex-snapshot
Prototype-Based Malware Traffic Classification with Novelty Detection
inferred← citeshttps://doi.org/10.1007/978-3-030-43887-6_13openalex-snapshot
Are Network Attacks Outliers? A Study of Space Representations and Unsupervised Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-030-62582-5_15openalex-snapshot
Beyond Labeling: Using Clustering to Build Network Behavioral Profiles of Malware Families
inferred← citeshttps://doi.org/10.1007/978-3-030-63086-7_11openalex-snapshot
MAAN: A Multiple Attribute Association Network for Mobile Encrypted Traffic Classification
inferred← citeshttps://doi.org/10.1007/978-3-030-89137-4_10openalex-snapshot
Caps-LSTM: A Novel Hierarchical Encrypted VPN Network Traffic Identification Using CapsNet and LSTM
inferred← citeshttps://doi.org/10.1007/978-3-030-89137-4_11openalex-snapshot
Multi-granularity Mobile Encrypted Traffic Classification Based on Fusion Features
inferred← citeshttps://doi.org/10.1007/978-3-030-94029-4_1openalex-snapshot
Encrypted Malicious Traffic Detection Based on Ensemble Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-98795-4_10openalex-snapshot
Intelligent Malware Defenses
inferred← citeshttps://doi.org/10.1007/978-3-031-18067-5_13openalex-snapshot
Working Mechanism of Eternalblue and Its Application in Ransomworm
inferred← citeshttps://doi.org/10.1007/978-3-031-53555-0_8openalex-snapshot
Graph-Based Detection of Encrypted Malicious Traffic with Spatio-Temporal Features
inferred← citeshttps://doi.org/10.1007/978-3-031-56326-3_22openalex-snapshot
Machine Learning Metrics for Network Datasets Evaluation
inferred← citeshttps://doi.org/10.1007/978-3-031-64948-6_2openalex-snapshot
CUFT: Cuflow-Based Approach with Multi-headed Attention Mechanism for Encrypted Traffic Classification
inferred← citeshttps://doi.org/10.1007/978-3-031-64954-7_4openalex-snapshot
MVTBA: A Novel Hybrid Deep Learning Model for Encrypted Malicious Traffic Identification
inferred← citeshttps://doi.org/10.1007/978-3-031-71079-7_5openalex-snapshot
Integrating Non-encrypted and Encrypted Features for Enhanced Detection of Encrypted Network Attacks
inferred← citeshttps://doi.org/10.1007/978-3-031-94448-2_3openalex-snapshot
MEMO: Detecting Unknown Malicious Encrypted Traffic via Metric Learning and Order-Aware Pre-training
inferred← citeshttps://doi.org/10.1007/978-3-031-94448-2_5openalex-snapshot
Anti-EMP: Encrypted Malware Packets Filtering Algorithm Leveraging Ciphertext Patterns Under Zero Knowledge Setting
inferred← citeshttps://doi.org/10.1007/978-3-031-95767-3_8openalex-snapshot
ProvDP: Differential Privacy for System Provenance Dataset
inferred← citeshttps://doi.org/10.1007/978-3-032-08243-5_8openalex-snapshot
A Framework for Automation of Signatures Using Encrypted Traffic Analysis and Machine Learning
inferred← citeshttps://doi.org/10.1007/978-3-032-20513-1_17openalex-snapshot
IntraShield: A Cloud-Native Platform for Insider Threat Detection and Mitigation in Enterprise Environments
inferred← citeshttps://doi.org/10.1007/978-3-032-21177-4_7openalex-snapshot
Decoding Privacy Threats in Mobile Applications: A Multi-layer Analysis of Encrypted Traffic and Server Interactions
inferred← citeshttps://doi.org/10.1007/978-3-032-30954-9_44openalex-snapshot
Zero-Shot Malware Traffic Recognition Across Encrypted Protocols
inferred← citeshttps://doi.org/10.1007/978-981-15-0121-0_41openalex-snapshot
Classification Method of Encrypted Traffic Based on Deep Neural Network
inferred← citeshttps://doi.org/10.1007/978-981-16-0730-1_4openalex-snapshot
AI Approaches for IoT Security Analysis
inferred← citeshttps://doi.org/10.1007/978-981-16-8059-5_13openalex-snapshot
A Review on TLS Encryption Malware Detection: TLS Features, Machine Learning Usage, and Future Directions
inferred← citeshttps://doi.org/10.1007/978-981-92-0375-8_29openalex-snapshot
Directional Flow Graph Framework for Detecting Known and Unknown Malicious Traffic
inferred← citeshttps://doi.org/10.1007/978-981-95-3001-4_26openalex-snapshot
GSC-SAGE: A Generative Subgraph Contrastive Framework for Encrypted Traffic Detection
inferred← citeshttps://doi.org/10.1007/978-981-96-4245-8_10openalex-snapshot
Encrypted Malware Traffic Detection via Multi-view Learning
inferred← citeshttps://doi.org/10.1007/978-981-96-9872-1_14openalex-snapshot
Malicious Encrypted Traffic Detection with Transformer and Dual-Layer Meta-update Incremental Learning
inferred← citeshttps://doi.org/10.1007/978-981-97-0834-5_18openalex-snapshot
FastDet: Detecting Encrypted Malicious Traffic Faster via Early Exit
inferred← citeshttps://doi.org/10.1007/978-981-97-9412-6_40openalex-snapshot
ETGuard: Malicious Encrypted Traffic Detection in Blockchain-Based Power Grid Systems
inferred← citeshttps://doi.org/10.1007/978-981-99-3569-7_18openalex-snapshot
Machine Learning-Based Malware Detection and Classification in Encrypted TLS Traffic
inferred← citeshttps://doi.org/10.1007/s00521-020-05440-2openalex-snapshot
SwitchTree: in-network computing and traffic analyses with Random Forests
inferred← citeshttps://doi.org/10.1007/s00521-023-08590-1openalex-snapshot
Towards robust CNN-based malware classifiers using adversarial examples generated based on two saliency similarities
inferred← citeshttps://doi.org/10.1007/s10479-023-05671-1openalex-snapshot
Naïve Bayes classifier based on reliability measurement for datasets with noisy labels
inferred← citeshttps://doi.org/10.1007/s10723-024-09767-1openalex-snapshot
HRNN: Hypergraph Recurrent Neural Network for Network Intrusion Detection
inferred← citeshttps://doi.org/10.1007/s10922-020-09512-5openalex-snapshot
A Frontier: Dependable, Reliable and Secure Machine Learning for Network/System Management
inferred← citeshttps://doi.org/10.1007/s11227-020-03372-1openalex-snapshot
THS-IDPC: A three-stage hierarchical sampling method based on improved density peaks clustering algorithm for encrypted malicious traffic detection
inferred← citeshttps://doi.org/10.1007/s11277-026-12177-zopenalex-snapshot
A Deep Learning-Based Collaborative Intrusion Detection System for UAV-Enabled Integrated Sensing and Communication
inferred← citeshttps://doi.org/10.1007/s11280-021-00940-0openalex-snapshot
Classifying encrypted traffic using adaptive fingerprints with multi-level attributes
inferred← citeshttps://doi.org/10.1007/s11416-017-0306-6openalex-snapshot
Deciphering malware’s use of TLS (without decryption)
inferred← citeshttps://doi.org/10.1007/s11416-022-00429-yopenalex-snapshot
Malicious encrypted traffic features extraction model based on unsupervised feature adaptive learning
inferred← citeshttps://doi.org/10.1007/s11704-025-50245-yopenalex-snapshot
The rhythm of execution: unveiling the impact of sandbox execution time on cyber threat intelligence data
inferred← citeshttps://doi.org/10.1007/s12083-021-01214-2openalex-snapshot
SFIM: Identify user behavior based on stable features
inferred← citeshttps://doi.org/10.1016/j.aei.2026.105101openalex-snapshot
MHFT: A multi-view heterogeneous framework with Transformer-based fusion for encrypted traffic classification
inferred← citeshttps://doi.org/10.1016/j.comnet.2020.107190openalex-snapshot
Consistency measure based simultaneous feature selection and instance purification for multimedia traffic classification
inferred← citeshttps://doi.org/10.1016/j.comnet.2020.107372openalex-snapshot
App trajectory recognition over encrypted internet traffic based on deep neural network
inferred← citeshttps://doi.org/10.1016/j.comnet.2021.108297openalex-snapshot
A communication-channel-based method for detecting deeply camouflaged malicious traffic
inferred← citeshttps://doi.org/10.1016/j.comnet.2022.108919openalex-snapshot
Detecting DNS over HTTPS based data exfiltration
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110591openalex-snapshot
Incremental encrypted traffic classification via contrastive prototype networks
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110630openalex-snapshot
Knowing the unknowns: Network traffic detection with open-set semi-supervised learning
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110824openalex-snapshot
Open set identification of malicious encrypted traffic based on multi-feature fusion
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111636openalex-snapshot
EMTD: Efficient encrypted malware traffic detection based on adaptive meta-path guided graph propagation
inferred← citeshttps://doi.org/10.1016/j.comnet.2026.112522openalex-snapshot
You can run but you can never hide: A multi-module collaborative detection framework based on network traffic
inferred← citeshttps://doi.org/10.1016/j.cose.2021.102250openalex-snapshot
Optimal feature configuration for dynamic malware detection
inferred← citeshttps://doi.org/10.1016/j.cose.2021.102542openalex-snapshot
Machine learning for encrypted malicious traffic detection: Approaches, datasets and comparative study
inferred← citeshttps://doi.org/10.1016/j.eswa.2019.01.064openalex-snapshot
Feature analysis of encrypted malicious traffic
inferred← citeshttps://doi.org/10.1016/j.inffus.2021.02.009openalex-snapshot
Network traffic classification for data fusion: A survey
inferred← citeshttps://doi.org/10.1016/j.ins.2022.04.018openalex-snapshot
A novel approach based on adaptive online analysis of encrypted traffic for identifying Malware in IIoT
inferred← citeshttps://doi.org/10.1016/j.jisa.2021.102823openalex-snapshot
ME-Box: A reliable method to detect malicious encrypted traffic
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113320openalex-snapshot
Malicious encrypted traffic detection method based on multi-granularity representation under data imbalance conditions
inferred← citeshttps://doi.org/10.1063/5.0122197openalex-snapshot
Malicious traffic classification using hybrid heuristic-payload based technique with machine learning
inferred← citeshttps://doi.org/10.1088/1757-899x/740/1/012133openalex-snapshot
Classification of Encrypted Text Based on Artificial Intelligence
inferred← citeshttps://doi.org/10.1093/comjnl/bxac008openalex-snapshot
DEV-ETA: An Interpretable Detection Framework for Encrypted Malicious Traffic
inferred← citeshttps://doi.org/10.1109/access.2019.2904039openalex-snapshot
Common Knowledge Based and One-Shot Learning Enabled Multi-Task Traffic Classification
inferred← citeshttps://doi.org/10.1109/access.2019.2930717openalex-snapshot
A Distance-Based Method for Building an Encrypted Malware Traffic Identification Framework
inferred← citeshttps://doi.org/10.1109/access.2020.3015080openalex-snapshot
Detection and Forensics of Encryption Behavior of Storage File and Network Transmission Data
inferred← citeshttps://doi.org/10.1109/access.2020.3029190openalex-snapshot
Automatic Mobile App Identification From Encrypted Traffic With Hybrid Neural Networks
inferred← citeshttps://doi.org/10.1109/access.2020.3030559openalex-snapshot
Rethinking the Weakness of Stream Ciphers and Its Application to Encrypted Malware Detection
inferred← citeshttps://doi.org/10.1109/access.2021.3056216openalex-snapshot
Edge Intelligence Based Identification and Classification of Encrypted Traffic of Internet of Things
inferred← citeshttps://doi.org/10.1109/access.2022.3191431openalex-snapshot
Is Encrypted ClientHello a Challenge for Traffic Classification?
inferred← citeshttps://doi.org/10.1109/access.2024.3469730openalex-snapshot
Early Traffic Classification With Encrypted ClientHello: A Multi-Country Study
inferred← citeshttps://doi.org/10.1109/aicit65974.2025.11282778openalex-snapshot
HFE-Traffic: Frequency-Oriented Encrypted Traffic Classification with Mamba State Space Models
inferred← citeshttps://doi.org/10.1109/bigcom65357.2024.00042openalex-snapshot
Encrypted Mining Traffic Detection Mechanism Based on TLS Handshake Message and Machine Learning
inferred← citeshttps://doi.org/10.1109/camad50429.2020.9209308openalex-snapshot
Head(er)Hunter: Fast Intrusion Detection using Packet Metadata Signatures
inferred← citeshttps://doi.org/10.1109/ccgrid57682.2023.00042openalex-snapshot
Overcoming Noisy Labels in Federated Learning Through Local Self-Guiding
inferred← citeshttps://doi.org/10.1109/ccnc49033.2022.9700654openalex-snapshot
Shining New Light on Useful Features for Network Intrusion Detection Algorithms
inferred← citeshttps://doi.org/10.1109/ccwc47524.2020.9031116openalex-snapshot
Detecting Malign Encrypted Network Traffic Using Perlin Noise and Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/cisat71030.2026.11682716openalex-snapshot
Anomaly Detection Method for Encrypted Traffic Based on LSTM Autoencoder and Markov Chain
inferred← citeshttps://doi.org/10.1109/compsac57700.2023.00104openalex-snapshot
Security is Readily to Interpret: Quantitative Feature Analysis for Botnet Encrypted Malicious Traffic
inferred← citeshttps://doi.org/10.1109/compsac57700.2023.00170openalex-snapshot
Security Operation Support by Estimating Cyber Attacks Without Traffic Decryption
inferred← citeshttps://doi.org/10.1109/comsnets53615.2022.9668482openalex-snapshot
Continual Learning for Anomaly based Network Intrusion Detection
inferred← citeshttps://doi.org/10.1109/comst.2020.2989695openalex-snapshot
Why are My Flows Different? A Tutorial on Flow Exporters
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/cscwd49262.2021.9437716openalex-snapshot
EZAC: Encrypted Zero-day Applications Classification using CNN and K-Means
inferred← citeshttps://doi.org/10.1109/cscwd61410.2024.10579986openalex-snapshot
IMTCDF: A Multi-Module-Based Internet Malicious Traffic Classification and Detection Framework
inferred← citeshttps://doi.org/10.1109/cscwd68734.2026.11581759openalex-snapshot
CPFI: Training on TLS 1.2, Detecting over TLS 1.3 for Malicious Traffic Identification
inferred← citeshttps://doi.org/10.1109/cscwd68734.2026.11582328openalex-snapshot
Restoration of HTTPS Attack Payloads Based on Kernel Instrumentation
inferred← citeshttps://doi.org/10.1109/csitss64042.2024.10816807openalex-snapshot
Enhancing Differential Privacy in Federated Learning via Quantum Computation and Algorithms
inferred← citeshttps://doi.org/10.1109/csr57506.2023.10224974openalex-snapshot
A Multi-Class Intrusion Detection System Based on Continual Learning
inferred← citeshttps://doi.org/10.1109/ctisc52352.2021.00021openalex-snapshot
Transfer Learning for Encrypted Malicious Traffic Detection Based on Efficientnet
inferred← citeshttps://doi.org/10.1109/cyberc.2019.00020openalex-snapshot
An Encrypted Malicious Traffic Detection System Based on Neural Network
inferred← citeshttps://doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361291openalex-snapshot
Research on Malicious Traffic Detection based on Word Embedding Algorithms and Neural Networks
inferred← citeshttps://doi.org/10.1109/dsc53577.2021.00097openalex-snapshot
A Novel Malware Encrypted Traffic Detection Framework Based On Ensemble Learning
inferred← citeshttps://doi.org/10.1109/dsc54232.2022.9888942openalex-snapshot
Network Intrusion Detection in Encrypted Traffic
inferred← citeshttps://doi.org/10.1109/dsc55868.2022.00034openalex-snapshot
Light-weight Unsupervised Anomaly Detection for Encrypted Malware Traffic
inferred← citeshttps://doi.org/10.1109/dsc55868.2022.00076openalex-snapshot
A Novel Framework For Malicious Encrypted Traffic Classification At Host Level And Flow Level
inferred← citeshttps://doi.org/10.1109/dsn64029.2025.00052openalex-snapshot
MalTAG: Encrypted Malware Traffic Detection Framework via Graph Based Flow Interaction Mining
inferred← citeshttps://doi.org/10.1109/ecai69016.2026.11613702openalex-snapshot
ML-Driven Detection of Malicious PE Files: A Lightweight and Scalable Approach
inferred← citeshttps://doi.org/10.1109/ecrime66200.2024.00009openalex-snapshot
EAGLEEYE: Attention to Unveil Malicious Event Sequences From Provenance Graphs
inferred← citeshttps://doi.org/10.1109/etcc69750.2026.11681992openalex-snapshot
Machine Learning-Based Identification of Encrypted VPN and Non-VPN Network Traffic
inferred← citeshttps://doi.org/10.1109/fmlds63805.2024.00016openalex-snapshot
Intrusion Classifier Architecture Generation with Zero Prior Knowledge Employing Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1109/hpcc-dss-smartcity-dependsys53884.2021.00061openalex-snapshot
PEAN: A Packet-level End-to-end Attentive Network for Encrypted Traffic Identification
inferred← citeshttps://doi.org/10.1109/hpcc-dss-smartcity-dependsys53884.2021.00087openalex-snapshot
MEMG: Mobile Encrypted Traffic Classification With Markov Chains and Graph Neural Network
inferred← citeshttps://doi.org/10.1109/hpcc-dss-smartcity-dependsys57074.2022.00220openalex-snapshot
METC-MVAE: Mobile Encrypted Traffic Classification With Masked Variational Autoencoders
inferred← citeshttps://doi.org/10.1109/hpcc-dss-smartcity-dependsys60770.2023.00020openalex-snapshot
A Novel Method with Transformers for Fine-grained Encrypted Traffic Classification
inferred← citeshttps://doi.org/10.1109/hpcc/smartcity/dss.2018.00079openalex-snapshot
TLS/SSL Encrypted Traffic Classification with Autoencoder and Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/hpcc67675.2025.00124openalex-snapshot
Malicious DoH Tunnel Traffic Identification Framework Based on DiffFlow-CNN
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/icaace65325.2025.11020246openalex-snapshot
A Semi-Supervised Learning Framework for Encrypted Traffic Classification Based on Supervised Contrastive Learning and Masked Sequence Prediction Tasks
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889365openalex-snapshot
DSDIR: A Two-Stage Method for Addressing Noisy Long-Tailed Problems in Malicious Traffic Detection
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/icassp55912.2026.11464078openalex-snapshot
Dual-Graph: Protocol Interaction-Aware Flow Representation for Accurate Unidirectional Encrypted Traffic Classification
inferred← citeshttps://doi.org/10.1109/icauc68182.2026.11440973openalex-snapshot
Machine Learning and IoT-Enabled Intelligent Traffic Systems: Applications, Challenges and Research Trends
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/icc40277.2020.9148644openalex-snapshot
Robust Network Flow Classification against Malicious Feature Manipulation
inferred← citeshttps://doi.org/10.1109/icc40277.2020.9148798openalex-snapshot
ACETA: Accelerating Encrypted Traffic Analytics on Network Edge
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/icctdc64446.2025.11158771openalex-snapshot
Edge-Accelerated Analytics for Encrypted Network Traffic using Optimized Machine Learning
inferred← citeshttps://doi.org/10.1109/iciccs53718.2022.9788176openalex-snapshot
Two-level Filtering Learner Applied to a Noisy Malware Dataset
inferred← citeshttps://doi.org/10.1109/icipca65645.2025.11138478openalex-snapshot
RWD: Incremental Reinforcement Learning with Wasserstein Distance for Efficient Encrypted Traffic Classification
inferred← citeshttps://doi.org/10.1109/icis.2018.8466404openalex-snapshot
Using CNN-based Representation Learning Method for Malicious Traffic Identification
inferred← citeshttps://doi.org/10.1109/icisce.2018.00060openalex-snapshot
Hybrid Traffic Identification Based on Sequential Pattern Mining
inferred← citeshttps://doi.org/10.1109/icncc68912.2025.00038openalex-snapshot
A Comparative Analysis of Malware Detection Techniques in Encrypted Network Traffic
inferred← citeshttps://doi.org/10.1109/icnp65844.2025.11192379openalex-snapshot
Non-uniformity is All You Need: Efficient and Timely Encrypted Traffic Classification With ECHO
inferred← citeshttps://doi.org/10.1109/icoin53446.2022.9687165openalex-snapshot
TMorph: A Traffic Morphing Framework to Test Network Defenses Against Adversarial Attacks
inferred← citeshttps://doi.org/10.1109/ict4da59526.2023.10302251openalex-snapshot
Ensemble Learning for Encrypted Malware Detection and Classification
inferred← citeshttps://doi.org/10.1109/ijcnn52387.2021.9533759openalex-snapshot
UMVD-FSL: Unseen Malware Variants Detection Using Few-Shot Learning
inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191219openalex-snapshot
MTCD-Model: A Two-Layer Model for Malicious Traffic Classification and Detection Based on Hierarchical Feature Learning
inferred← citeshttps://doi.org/10.1109/infocom.2019.8737507openalex-snapshot
FS-Net: A Flow Sequence Network For Encrypted Traffic Classification
inferred← citeshttps://doi.org/10.1109/infocom48880.2022.9796878openalex-snapshot
TrojanFlow: A Neural Backdoor Attack to Deep Learning-based Network Traffic Classifiers
inferred← citeshttps://doi.org/10.1109/infocomwkshps50562.2020.9162940openalex-snapshot
Detecting Anomalies in Encrypted Traffic via Deep Dictionary Learning
inferred← citeshttps://doi.org/10.1109/infocomwkshps50562.2020.9162971openalex-snapshot
Poster Abstract: Encrypted Malware Traffic Detection Using Incremental Learning
inferred← citeshttps://doi.org/10.1109/ipccc50635.2020.9391542openalex-snapshot
An Encrypted Traffic Classification Method Combining Graph Convolutional Network and Autoencoder
inferred← citeshttps://doi.org/10.1109/iscc53001.2021.9631419openalex-snapshot
FA-net: Attention-based Fusion Network For Malware HTTPs Traffic Classification
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/iscc65549.2025.11326005openalex-snapshot
MV-TFNet: Malware Traffic Detection Based on Multi-View Flow Sequence and Time-Frequency Feature Fusion
inferred← citeshttps://doi.org/10.1109/ispa63168.2024.00147openalex-snapshot
CMAE-MTC: A Contextual Masked AutoEncoder Based Multi-Level Traffic Classifier
inferred← citeshttps://doi.org/10.1109/iwqos.2018.8624124openalex-snapshot
MaMPF: Encrypted Traffic Classification Based on Multi-Attribute Markov Probability Fingerprints
inferred← citeshttps://doi.org/10.1109/iwqos52092.2021.9521316openalex-snapshot
Byte-Label Joint Attention Learning for Packet-grained Network Traffic Classification
inferred← citeshttps://doi.org/10.1109/jiot.2018.2865604openalex-snapshot
DEFT: A Distributed IoT Fingerprinting Technique
inferred← citeshttps://doi.org/10.1109/jiot.2020.3029970openalex-snapshot
Malware on Internet of UAVs Detection Combining String Matching and Fourier Transformation
inferred← citeshttps://doi.org/10.1109/jiot.2023.3320046openalex-snapshot
A Domain Embedding Model for Botnet Detection Based on Smart Blockchain
inferred← citeshttps://doi.org/10.1109/jiot.2025.3582027openalex-snapshot
Protect NTN-IoT Security by Malicious Traffic Detection: A Multidimensional Hypergraph Learning Approach
inferred← citeshttps://doi.org/10.1109/jsac.2021.3087268openalex-snapshot
Robust Online Learning against Malicious Manipulation and Feedback Delay With Application to Network Flow Classification
inferred← citeshttps://doi.org/10.1109/lcn53696.2022.9843419openalex-snapshot
Accurate Real-Time Labeling of Application Traffic
inferred← citeshttps://doi.org/10.1109/lnet.2023.3349301openalex-snapshot
Malicious Traffic Detection With Noise Labels Based on Cross-Modal Consistency
inferred← citeshttps://doi.org/10.1109/malware.2018.8659361openalex-snapshot
An In-Depth Study of Open-Source Command and Control Frameworks
inferred← citeshttps://doi.org/10.1109/milcom47813.2019.9020938openalex-snapshot
An Empirical Analysis of Plugin-Based Tor Traffic over SSH Tunnel
inferred← citeshttps://doi.org/10.1109/nof52522.2021.9609889openalex-snapshot
An Outlook on using Packet Sampling in Flow-based C2 TLS Malware Traffic Detection
inferred← citeshttps://doi.org/10.1109/ojcoms.2025.3638985openalex-snapshot
BoNC: Discovering and Classifying Novel Encrypted Botnet Traffic
inferred← citeshttps://doi.org/10.1109/pccc.2017.8280467openalex-snapshot
Metric learning with statistical features for network traffic classification
inferred← citeshttps://doi.org/10.1109/pimrc.2017.8292316openalex-snapshot
Deep learning for malicious flow detection
inferred← citeshttps://doi.org/10.1109/qcnc69040.2026.00129openalex-snapshot
QuanNetDetect: A Quantum Hybrid Deep Learning Framework for Encrypted TLS Malicious Traffic Detection
inferred← citeshttps://doi.org/10.1109/qrs57517.2022.00057openalex-snapshot
Understanding and Mitigating Label Bias in Malware Classification: An Empirical Study
inferred← citeshttps://doi.org/10.1109/ssci50451.2021.9659955openalex-snapshot
Near-real-time Anomaly Detection in Encrypted Traffic using Machine Learning Techniques
inferred← citeshttps://doi.org/10.1109/ssic.2018.8556792openalex-snapshot
Classification of botnet families based on features self-learning under Network Traffic Censorship
inferred← citeshttps://doi.org/10.1109/tcc.2020.2985651openalex-snapshot
Towards Intelligent Provisioning of Virtualized Network Functions in Cloud of Things: A Deep Reinforcement Learning Based Approach
inferred← citeshttps://doi.org/10.1109/tdsc.2021.3101311openalex-snapshot
EBSNN: Extended Byte Segment Neural Network for Network Traffic Classification
inferred← citeshttps://doi.org/10.1109/tdsc.2024.3406699openalex-snapshot
SUNDEW: A Case-Sensitive Detection Engine to Counter Malware Diversity
inferred← citeshttps://doi.org/10.1109/tdsc.2025.3557423openalex-snapshot
PrivBox: Privacy-Preserving Deep Packet Inspection With Dual Double-Masking Obfuscated Rule Generation
inferred← citeshttps://doi.org/10.1109/tdsc.2025.3611908openalex-snapshot
When Unknown Threat Meets Label Noise: A Self-Correcting Framework
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/tdsc.2026.3712032openalex-snapshot
MambaTIG: Fast and Robust Encrypted Traffic Detection Leveraging Selective State-Space Masking
inferred← citeshttps://doi.org/10.1109/tifs.2018.2879616openalex-snapshot
Statistical Application Fingerprinting for DDoS Attack Mitigation
inferred← citeshttps://doi.org/10.1109/tifs.2023.3300521openalex-snapshot
CBSeq: A Channel-Level Behavior Sequence for Encrypted Malware Traffic Detection
inferred← citeshttps://doi.org/10.1109/tifs.2023.3318962openalex-snapshot
MCRe: A Unified Framework for Handling Malicious Traffic With Noise Labels Based on Multidimensional Constraint Representation
inferred← citeshttps://doi.org/10.1109/tifs.2024.3426304openalex-snapshot
ECNet: Robust Malicious Network Traffic Detection With Multi-View Feature and Confidence Mechanism
inferred← citeshttps://doi.org/10.1109/tifs.2024.3515821openalex-snapshot
ReTrial: Robust Encrypted Malicious Traffic Detection via Discriminative Relation Incorporation and Misleading Relation Correction
inferred← citeshttps://doi.org/10.1109/tifs.2025.3571663openalex-snapshot
FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification Under Environment Shifts
inferred← citeshttps://doi.org/10.1109/tifs.2025.3574971openalex-snapshot
Respond to Change With Constancy: Instruction-Tuning With LLM for Non-I.I.D. Network Traffic Classification
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.2025.3648170openalex-snapshot
BAPTISM: A Robust Framework for Encrypted Malicious Traffic Identification With Low-Quality Training Data
inferred← citeshttps://doi.org/10.1109/tmc.2023.3319657openalex-snapshot
Distributionally Robust Federated Learning for Network Traffic Classification With Noisy Labels
inferred← citeshttps://doi.org/10.1109/tnet.2022.3215507openalex-snapshot
A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification
inferred← citeshttps://doi.org/10.1109/tnet.2024.3370851openalex-snapshot
Flow Interaction Graph Analysis: Unknown Encrypted Malicious Traffic Detection
inferred← citeshttps://doi.org/10.1109/tnet.2024.3404011openalex-snapshot
Per-Packet Traffic Measurement in Storage, Computation and Bandwidth Limited Data Plane
inferred← citeshttps://doi.org/10.1109/tnse.2022.3173591openalex-snapshot
Automatic Detection of DGA-Enabled Malware Using SDN and Traffic Behavioral Modeling
inferred← citeshttps://doi.org/10.1109/tnse.2025.3582871openalex-snapshot
A Unified Framework for Robust Encrypted Malicious Traffic Detection in Adverse Environments via Graph Structure Learning
inferred← citeshttps://doi.org/10.1109/tnsm.2021.3069225openalex-snapshot
Robust Anomaly Detection Using Reconstructive Adversarial Network
inferred← citeshttps://doi.org/10.1109/tnsm.2024.3350080openalex-snapshot
MetaRockETC: Adaptive Encrypted Traffic Classification in Complex Network Environments via Time Series Analysis and Meta-Learning
inferred← citeshttps://doi.org/10.1109/tnsm.2026.3671203openalex-snapshot
BPF-GNN: A Multi-Granularity Feature Extraction Model Using Graph Neural Networks for Encrypted Traffic Classification
inferred← citeshttps://doi.org/10.1109/ton.2026.3690471openalex-snapshot
Toward Robust Detection of Malicious Encrypted Traffic Using Only Low-Quality Training Data
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/tr.2026.3703837openalex-snapshot
Robust Malicious Traffic Representation Under Instance-Dependent Noise via Entropy Selection and Semisupervised Learning
inferred← citeshttps://doi.org/10.1109/trustcom63139.2024.00074openalex-snapshot
Few-shot Encrypted Malicious Traffic Classification via Hierarchical Semantics and Adaptive Prototype Learning
inferred← citeshttps://doi.org/10.1109/trustcom63139.2024.00157openalex-snapshot
FREDet: Fine-Grained Malicious Traffic Detection Based on Frequency Domain Features
inferred← citeshttps://doi.org/10.1109/trustcom66490.2025.00043openalex-snapshot
MEB: A Backdoor Detection Framework for Pre-training Based Malicious Traffic Detection
inferred← citeshttps://doi.org/10.1109/tsc.2026.3664705openalex-snapshot
Time Will Tell: Criss-Cross Transformer for Encrypted Traffic Analysis
inferred← citeshttps://doi.org/10.1109/tvt.2018.2880754openalex-snapshot
Intelligent VNFs Selection Based on Traffic Identification in Vehicular Cloud Networks
inferred← citeshttps://doi.org/10.1109/vtc2022-fall57202.2022.10012863openalex-snapshot
A Novel Malware Traffic Classification Method Based on Differentiable Architecture Search
inferred← citeshttps://doi.org/10.1117/12.2635865openalex-snapshot
An improved fingerprint matching algorithm to detect malware encrypted traffic based on weighted Bayes
inferred← citeshttps://doi.org/10.1142/s2196888825500095openalex-snapshot
ProDef-MDS: A Proactive Defense Mechanism Protecting Malware Detection Systems from Adversarial Attacks
inferred← citeshttps://doi.org/10.1145/3270101.3270105openalex-snapshot
Hunting Malicious TLS Certificates with Deep Neural Networks
showing the first 200 of 286 · page through all 286
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.