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Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Security Flaws Induced by CBC Padding — Applications to SSL, IPSEC, WTLS...
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Haetae: Scaling the Performance of Network Intrusion Detection with Many-Core Processors
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Anomalous Payload-Based Network Intrusion Detection
inferredcites →https://doi.org/10.1007/978-981-99-3982-4_23openalex-snapshot
Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
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Anomaly-based network intrusion detection: Techniques, systems and challenges
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A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
inferredcites →https://doi.org/10.1109/infocom41043.2020.9155278openalex-snapshot
ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/mnet.011.1900366openalex-snapshot
Optimizing Feature Selection for Efficient Encrypted Traffic Classification: A Systematic Approach
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/10.1109/sp.2012.33openalex-snapshot
EvilSeed: A Guided Approach to Finding Malicious Web Pages
inferredcites →https://doi.org/10.1109/sp40000.2020.00079openalex-snapshot
Throwing Darts in the Dark? Detecting Bots with Limited Data using Neural Data Augmentation
inferredcites →https://doi.org/10.1109/tdsc.2021.3104869openalex-snapshot
An Automated Multi-Tab Website Fingerprinting Attack
inferredcites →https://doi.org/10.1109/tifs.2017.2692682openalex-snapshot
Classification of Encrypted Traffic With Second-Order Markov Chains and Application Attribute Bigrams
inferredcites →https://doi.org/10.1109/tifs.2018.2805600openalex-snapshot
Realtime DDoS Defense Using COTS SDN Switches via Adaptive Correlation Analysis
inferredcites →https://doi.org/10.1109/tifs.2018.2883177openalex-snapshot
Vesper: Using Echo Analysis to Detect Man-in-the-Middle Attacks in LANs
inferredcites →https://doi.org/10.1109/tifs.2020.3046876openalex-snapshot
Fine-Grained Webpage Fingerprinting Using Only Packet Length Information of Encrypted Traffic
inferredcites →https://doi.org/10.1109/tifs.2021.3050608openalex-snapshot
Accurate Decentralized Application Identification via Encrypted Traffic Analysis Using Graph Neural Networks
inferredcites →https://doi.org/10.1109/tnet.2006.880180openalex-snapshot
Low-rate TCP-targeted denial of service attacks and counter strategies
inferredcites →https://doi.org/10.1109/tnet.2018.2797081openalex-snapshot
Off-Path TCP Exploits of the Challenge ACK Global Rate Limit
inferredcites →https://doi.org/10.1109/tnet.2021.3062621openalex-snapshot
Enabling Performant, Flexible and Cost-Efficient DDoS Defense With Programmable Switches
inferredcites →https://doi.org/10.1145/1030083.1030086openalex-snapshot
Operational experiences with high-volume network intrusion detection
inferredcites →https://doi.org/10.1145/1180405.1180414openalex-snapshot
Evading network anomaly detection systems
inferredcites →https://doi.org/10.1145/2487575.2487647openalex-snapshot
Cost-sensitive online active learning with application to malicious URL detection
inferredcites →https://doi.org/10.1145/2664243.2664278openalex-snapshot
OSPF vulnerability to persistent poisoning attacks
inferredcites →https://doi.org/10.1145/3274694.3274697openalex-snapshot
A Multi-tab Website Fingerprinting Attack
inferredcites →https://doi.org/10.1145/3319535.3363226openalex-snapshot
Lifelong Anomaly Detection Through Unlearning
inferredcites →https://doi.org/10.1145/3372297.3417884openalex-snapshot
Off-Path TCP Exploits of the Mixed IPID Assignment
inferredcites →https://doi.org/10.1145/863955.863966openalex-snapshot
Low-rate TCP-targeted denial of service attacks
inferredcites →https://doi.org/10.14257/ijdta.2016.9.4.05openalex-snapshot
A Review on Network Intrusion Detection System Using Open Source Snort
inferredcites →https://doi.org/10.14722/ndss.2014.23269openalex-snapshot
Nazca: Detecting Malware Distribution in Large-Scale Networks
inferredcites →https://doi.org/10.14722/ndss.2016.23240openalex-snapshot
Who Are You? A Statistical Approach to Measuring User Authenticity
inferredcites →https://doi.org/10.14722/ndss.2018.23115openalex-snapshot
Automated Attack Discovery in TCP Congestion Control Using a Model-guided Approach
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.2019.23210openalex-snapshot
Statistical Privacy for Streaming Traffic
inferredcites →https://doi.org/10.14722/ndss.2020.24007openalex-snapshot
Poseidon: Mitigating Volumetric DDoS Attacks with Programmable Switches
inferredcites →https://doi.org/10.14722/ndss.2020.24232openalex-snapshot
BLAG: Improving the Accuracy of Blacklists
inferredcites →https://doi.org/10.14722/ndss.2020.24301openalex-snapshot
Encrypted DNS --> Privacy? A Traffic Analysis Perspective
inferredcites →https://doi.org/10.14722/ndss.2020.24347openalex-snapshot
Practical Traffic Analysis Attacks on Secure Messaging Applications
inferredcites →https://doi.org/10.14722/ndss.2020.24412openalex-snapshot
FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic
inferredcites →https://doi.org/10.48550/arxiv.1512.02595openalex-snapshot
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
inferredcites →https://doi.org/10.48550/arxiv.1803.10769openalex-snapshot
Network Traffic Anomaly Detection Using Recurrent Neural Networks
inferredcites →https://doi.org/10.5281/zenodo.3610260openalex-snapshot
Scalable Scanning and Automatic Classification of TLS Padding Oracle Vulnerabilities
inferredcites →https://doi.org/10.60882/cispa.24612720openalex-snapshot
A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Land: A Low-Resource and Adaptive Network Intrusion Detection System
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Robust Network Intrusion Detection via Semi-supervised Deep Reinforcement Learning
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Anomaly Traffic Detection in Edge with Multi-scale Aggregated Transformer
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BFDet: A Method for Detecting Malicious Traffic with Ultra-low False Positive Rate Based on TLS Behavior Flow
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Directional Flow Graph Framework for Detecting Known and Unknown Malicious Traffic
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Multi-modal Datagram Representation with Spatial-Temporal State Space Models and Inter-flow Contrastive Learning for Encrypted Traffic Classification
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HF-IDS: A Hybrid Method for Fine-Grained Known/Unknown Intrusion Detection
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Encrypted Malware Traffic Detection Via Time-Frequency Domain Analysis
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Enhancing Robustness in NIDS via Coverage Guided Fuzzing and Adversarial Training
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LogSHIELD: A Graph-Based Real-Time Anomaly Detection Framework Using Frequency Analysis
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Every Sherlock Needs a Watson: Practical Semi-realtime Attack Elaboration System
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A Survey on Covert Network Attack
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TDAT: A Real-Time Two-Stage DDoS Attacks Detector Based on Anomaly Transformer
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MACROSS: End-to-End Network Attack Detection Model for EV Charging Station Based on Temporal-Frequency Feature Fusion
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AGAE: Unsupervised Anomaly Detection for Encrypted Malicious Traffic
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UARC:Unsupervised Anomalous Traffic Detection with Improved U-Shaped Autoencoder and RetNet Based Multi-clustering
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ETGuard: Malicious Encrypted Traffic Detection in Blockchain-Based Power Grid Systems
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MF-Net: Encrypted Malicious Traffic Detection Based on Multi-flow Temporal Features
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GateKeeper: An UltraLite malicious traffic identification method with dual-aspect optimization strategies on IoT gateways
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Enhancing Detection of Malicious Traffic Through FPGA-Based Frequency Transformation and Machine Learning
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STCFormer: Robust Malicious Traffic Detection Via Short-Term Traffic Profiling and A Hybrid Transformer
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Unsupervised Anomalous Traffic Detection Based on Cascading Representation and Multiple-Clustering
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SEAM: Semantic Similarity-Enhanced Adaptive Masking for Robust Encrypted Traffic Classification
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Enhanced Network Security: Real-Time Malicious Traffic Detection in SD-WAN Using LSTM-GRU Hybrid Model
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Proteus: A Difficulty-Aware Deep Learning Framework for Real-Time Malicious Traffic Detection
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Netmamba: Efficient Network Traffic Classification Via Pre-Training Unidirectional Mamba
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RIDS: Towards Advanced IDS via RNN Model and Programmable Switches Co-Designed Approaches
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MalMoE: Mixture-of-Experts Enhanced Encrypted Malicious Traffic Detection Under Graph Drift
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Unidirectional Encrypted Traffic Classification: A Survey
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NetNN: Neural Intrusion Detection System in Programmable Networks
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Flow Sequence-Based Anonymity Network Traffic Identification with Residual Graph Convolutional Networks
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NetSentry: Scalable Volumetric DDoS Detection with Programmable Switches
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MOTA: Mixture of Traffic Agents for Robust Network Traffic Classification
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CBDDoSCLIP: A Lightweight Multimodal Framework for Carpet-Bombing DDoS Attack Detection
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Semisupervised Federated-Learning-Based Intrusion Detection Method for Internet of Things
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Hitting Moving Targets: Intelligent Prevention of IoT Intrusions on the Fly
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Intrusion Detection for Encrypted Flows Using Single Feature Based on Graph Integration Theory
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Reliable Routing for V2X Networks: A Joint Perspective of Trust Prediction and Attack Resistance
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RTCS: An Improved Real-Time Credibility-Based Intrusion Detection System
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Protect NTN-IoT Security by Malicious Traffic Detection: A Multidimensional Hypergraph Learning Approach
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DLET-Classifier: A Dynamic and Lightweight Method for Encrypted Traffic Classification
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NGAP Feature Fusion Hybrid Network Attack Detection for 5G Edge Security
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STAPT: Spatio-Temporal Semantic Modeling for Advanced Persistent Threat Detection
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Verify All Traffic: Towards Zero-Trust In-Network Intrusion Detection Against Multipath Routing
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Collaboration-Enabled Intelligent Internet Architecture: Opportunities and Challenges
inferred← citeshttps://doi.org/10.1109/pst65910.2025.11268880openalex-snapshot
Temporal-Spatial Feature Modification Attacks Against Machine Learning-Based Network Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1109/raid67961.2025.00052openalex-snapshot
Detecting and Adapting to Stealthy Label-Inversion Drifts via Conditional Distribution Inference
inferred← citeshttps://doi.org/10.1109/rtss59052.2023.00045openalex-snapshot
Work-in-Progress: Towards Real-Time IDS via RNN and Programmable Switches Co-Designed Approach
inferred← citeshttps://doi.org/10.1109/secon64284.2024.10934888openalex-snapshot
A Large-Scale P2P Botnet Detection Framework via Topology and Traffic Co-Verification
inferred← citeshttps://doi.org/10.1109/smartworld-uic-atc-scalcom-digitaltwin-pricomp-metaverse56740.2022.00080openalex-snapshot
FewFine: Few-shot Malware Traffic Classification Via Transfer Learning based on Fine-tuning Strategy
inferred← citeshttps://doi.org/10.1109/smc54092.2024.10831226openalex-snapshot
Fractal: Facilitating Robust Encrypted Traffic Classification Using Data Augmentation and Contrastive Learning
inferred← citeshttps://doi.org/10.1109/sp61157.2025.00102openalex-snapshot
TrafficFormer: An Efficient Pre-trained Model for Traffic Data
inferred← citeshttps://doi.org/10.1109/srds60354.2023.00025openalex-snapshot
ALBUS: a Probabilistic Monitoring Algorithm to Counter Burst-Flood Attacks
inferred← citeshttps://doi.org/10.1109/tdsc.2023.3240315openalex-snapshot
PRISM: A Hierarchical Intrusion Detection Architecture for Large-Scale Cyber Networks
inferred← citeshttps://doi.org/10.1109/tdsc.2023.3349180openalex-snapshot
Effective DDoS Mitigation via ML-Driven In-Network Traffic Shaping
inferred← citeshttps://doi.org/10.1109/tdsc.2024.3392486openalex-snapshot
Secure Fault Localization in Path Aware Networking
inferred← citeshttps://doi.org/10.1109/tdsc.2024.3522104openalex-snapshot
PLUTO: A Robust LDoS Attack Defense System Executing at Line Speed
inferred← citeshttps://doi.org/10.1109/tdsc.2025.3560486openalex-snapshot
Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors
inferred← citeshttps://doi.org/10.1109/tdsc.2025.3596092openalex-snapshot
LLMGraph: Label-Free Detection Against APTs in Edge Networks via LLM and GCN
inferred← citeshttps://doi.org/10.1109/tdsc.2025.3599321openalex-snapshot
Self-Supervised Adaptation Method to Concept Drift for Network Intrusion Detection
inferred← citeshttps://doi.org/10.1109/tdsc.2026.3688655openalex-snapshot
Normality in Anomaly: Rethinking Traffic Labels
inferred← citeshttps://doi.org/10.1109/tdsc.2026.3697849openalex-snapshot
Fine-Grained Detection and Analysis of Unknown Encrypted Malicious Traffic From Mixed Noisy Labels
inferred← citeshttps://doi.org/10.1109/tifs.2023.3262121openalex-snapshot
Real-Time Malicious Traffic Detection With Online Isolation Forest Over SD-WAN
inferred← citeshttps://doi.org/10.1109/tifs.2023.3275768openalex-snapshot
LtRFT: Mitigate the Low-Rate Data Plane DDoS Attack With Learning-To-Rank Enabled Flow Tables
inferred← citeshttps://doi.org/10.1109/tifs.2024.3402439openalex-snapshot
RFG-HELAD: A Robust Fine-Grained Network Traffic Anomaly Detection Model Based on Heterogeneous Ensemble Learning
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.2024.3428856openalex-snapshot
SeIoT: Detecting Anomalous Semantics in Smart Homes via Knowledge Graph
inferred← citeshttps://doi.org/10.1109/tifs.2024.3472477openalex-snapshot
rDefender: A Lightweight and Robust Defense Against Flow Table Overflow Attacks in SDN
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.2024.3516565openalex-snapshot
MalFSCIL: A Few-Shot Class-Incremental Learning Approach for Malware Detection
inferred← citeshttps://doi.org/10.1109/tifs.2025.3550060openalex-snapshot
unFlowS: An Unsupervised Construction Scheme of Flow Spectrum for Network Traffic Detection
inferred← citeshttps://doi.org/10.1109/tifs.2025.3551643openalex-snapshot
A-NIDS: Adaptive Network Intrusion Detection System Based on Clustering and Stacked CTGAN
inferred← citeshttps://doi.org/10.1109/tifs.2025.3560560openalex-snapshot
Robust Detection of Malicious Encrypted Traffic via Contrastive Learning
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.2025.3581092openalex-snapshot
WF-TFC: An Open-World Few-Shot Anonymous Website Fingerprinting via Time-Frequency Consistency
inferred← citeshttps://doi.org/10.1109/tifs.2025.3612141openalex-snapshot
Detection of Unknown Attacks Through Encrypted Traffic: A Gaussian Prototype-Aided Variational Autoencoder Framework
inferred← citeshttps://doi.org/10.1109/tifs.2025.3613970openalex-snapshot
Robustness Matters: Pre-Training Can Enhance the Performance of Encrypted Traffic Analysis
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.2025.3648170openalex-snapshot
BAPTISM: A Robust Framework for Encrypted Malicious Traffic Identification With Low-Quality Training Data
inferred← citeshttps://doi.org/10.1109/tifs.2026.3694664openalex-snapshot
Robust Malicious Network Traffic Detection Framework With Automated Drift Detection, Identification, and Adaptation
inferred← citeshttps://doi.org/10.1109/tifs.2026.3723120openalex-snapshot
GraphWave: A Dynamic Context-Adaptive Multimodal Feature Fusion Framework for Threat Detection
inferred← citeshttps://doi.org/10.1109/tii.2025.3582394openalex-snapshot
Frequency-Domain Anomaly Detection for Encrypted Traffic in Industrial Control Systems
inferred← citeshttps://doi.org/10.1109/tmc.2023.3311012openalex-snapshot
CMD: Co-Analyzed IoT Malware Detection and Forensics via Network and Hardware Domains
inferred← citeshttps://doi.org/10.1109/tmc.2026.3651574openalex-snapshot
FlowXpert: Context-Aware Flow Embedding for Enhanced Traffic Detection in IoT Network
inferred← citeshttps://doi.org/10.1109/tnet.2022.3195871openalex-snapshot
Frequency Domain Feature Based Robust Malicious Traffic Detection
inferred← citeshttps://doi.org/10.1109/tnet.2022.3209979openalex-snapshot
A Two-Phase Approach to Fast and Accurate Classification of Encrypted Traffic
inferred← citeshttps://doi.org/10.1109/tnet.2022.3222610openalex-snapshot
MASK: Practical Source and Path Verification Based on Multi-AS-Key
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.2024.3413789openalex-snapshot
FOSS: Towards Fine-Grained Unknown Class Detection Against the Open-Set Attack Spectrum With Variable Legitimate Traffic
inferred← citeshttps://doi.org/10.1109/tnet.2024.3473742openalex-snapshot
SpiderNet: Enabling Bot Identification in Network Topology Obfuscation Against Link Flooding Attacks
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/tnse.2025.3588739openalex-snapshot
IoT-TSO: An Unsupervised Method for Classifying Malicious IoT Traffic via Tensor Self-Optimization
inferred← citeshttps://doi.org/10.1109/tnse.2026.3664905openalex-snapshot
Enhancing Intrusion Detection via Interpretable Inter-Flow Spatio-Temporal Graphs and Intra-Flow Features
inferred← citeshttps://doi.org/10.1109/tnsm.2022.3212913openalex-snapshot
MAP4: A Pragmatic Framework for In-Network Machine Learning Traffic Classification
inferred← citeshttps://doi.org/10.1109/tnsm.2024.3413685openalex-snapshot
Resource-Efficient Low-Rate DDoS Mitigation With Moving Target Defense in Edge Clouds
inferred← citeshttps://doi.org/10.1109/tnsm.2025.3543773openalex-snapshot
Counteracting New Attacks in CPS: A Few-Shot Class-Incremental Adaptation Strategy for Intrusion Detection System
inferred← citeshttps://doi.org/10.1109/tnsm.2025.3565614openalex-snapshot
DM-IDS—A Network Intrusion Detection Method Based on Dual-Modal Fusion
inferred← citeshttps://doi.org/10.1109/tnsm.2025.3580467openalex-snapshot
MARS: Defending TCP Protocol Abuses in Programmable Data Plane
inferred← citeshttps://doi.org/10.1109/tnsm.2025.3580471openalex-snapshot
SegCoT: Dependable Intrusion Detection System Based on Segment-Wise CoTransformer for Ship Communication Networks
inferred← citeshttps://doi.org/10.1109/tnsm.2025.3607406openalex-snapshot
Efficient In-Network Traffic Classification Using Programmable Switches With AdaFlow
inferred← citeshttps://doi.org/10.1109/tnsm.2025.3650038openalex-snapshot
CL-ViME: Contrastive Learning and Vision Mixture of Experts for Encrypted Traffic Classification
inferred← citeshttps://doi.org/10.1109/tnsm.2026.3724323openalex-snapshot
Correction Forest: A Misclassification Correction Model for Reducing the Total Error Rate of IIoT Network Intrusion Detection
inferred← citeshttps://doi.org/10.1109/ton.2025.3543734openalex-snapshot
StateShield: Real-Time Defenses Against Information Leakage Over Connectionless Protocols
inferred← citeshttps://doi.org/10.1109/ton.2025.3546735openalex-snapshot
“One Model Fits All Nodes”: Neuron Activation Pattern Analysis-Based Attack Traffic Detection Framework for P2P Networks
inferred← citeshttps://doi.org/10.1109/ton.2025.3602877openalex-snapshot
TNT: A Large-Scale P2P Botnet Detection Framework via Communication Topology and Network Traffic
inferred← citeshttps://doi.org/10.1109/ton.2025.3610853openalex-snapshot
REAPER: Real-Time Detection of Malicious Traffic via Deep Time-Series Embedding Analysis
inferred← citeshttps://doi.org/10.1109/ton.2025.3643832openalex-snapshot
Toward Efficient Distributed Network Security: A Lightweight Multitask Traffic Analysis Framework
inferred← citeshttps://doi.org/10.1109/ton.2025.3648394openalex-snapshot
SOFA: Service-Oriented Fine-Grained Attack Traffic Detection With Meta Learning
inferred← citeshttps://doi.org/10.1109/ton.2026.3674624openalex-snapshot
When Pre-Training Meets Contrast Learning: Few-Shot Encrypted Traffic Classification With Novelty Detection
inferred← citeshttps://doi.org/10.1109/ton.2026.3725793openalex-snapshot
An FPGA Integrated Programmable Switch Architecture for Data Plane DNN Inference
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/trustcom56396.2022.00056openalex-snapshot
Cdga: A GAN-based Controllable Domain Generation Algorithm
inferred← citeshttps://doi.org/10.1109/trustcom63139.2024.00064openalex-snapshot
SCENE: Shape-based Clustering for Enhanced Noise-resilient Encrypted Traffic Classification
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/trustcom63139.2024.00259openalex-snapshot
A LLM-based agent for the automatic generation and generalization of IDS rules
inferred← citeshttps://doi.org/10.1109/tsc.2025.3539194openalex-snapshot
Behavior Tomographer: Identifying Hidden Cybercrimes by Behavior Interior Structure Modeling
inferred← citeshttps://doi.org/10.1117/12.3005813openalex-snapshot
A uniform network flow feature aggregation method based on parallel LSTM
inferred← citeshttps://doi.org/10.1145/3511808.3557549openalex-snapshot
An Extreme Semi-supervised Framework Based on Transformer for Network Intrusion Detection
inferred← citeshttps://doi.org/10.1145/3534678.3539314openalex-snapshot
MT-FlowFormer: A Semi-Supervised Flow Transformer for Encrypted Traffic Classification
inferred← citeshttps://doi.org/10.1145/3564625.3567992openalex-snapshot
ENIDrift: A Fast and Adaptive Ensemble System for Network Intrusion Detection under Real-world Drift
inferred← citeshttps://doi.org/10.1145/3576915.3616631openalex-snapshot
Point Cloud Analysis for ML-Based Malicious Traffic Detection: Reducing Majorities of False Positive Alarms
inferred← citeshttps://doi.org/10.1145/3589334.3645407openalex-snapshot
Trident: A Universal Framework for Fine-Grained and Class-Incremental Unknown Traffic Detection
inferred← citeshttps://doi.org/10.1145/3589334.3645691openalex-snapshot
AN-Net: an Anti-Noise Network for Anonymous Traffic Classification
inferred← citeshttps://doi.org/10.1145/3603269.3610866openalex-snapshot
Poster: In-Network ML Feature Computation for Malicious Traffic Detection
inferred← citeshttps://doi.org/10.1145/3637528.3672007openalex-snapshot
ReCDA: Concept Drift Adaptation with Representation Enhancement for Network Intrusion Detection
inferred← citeshttps://doi.org/10.1145/3658644.3670353openalex-snapshot
Detecting Tunneled Flooding Traffic via Deep Semantic Analysis of Packet Length Patterns
inferred← citeshttps://doi.org/10.1145/3658644.3690188openalex-snapshot
The HitchHiker's Guide to High-Assurance System Observability Protection with Efficient Permission Switches
inferred← citeshttps://doi.org/10.1145/3678890.3678910openalex-snapshot
Understanding Web Fingerprinting with a Protocol-Centric Approach
inferred← citeshttps://doi.org/10.1145/3680121.3697807openalex-snapshot
iGuard: Efficient Isolation Forest Design for Malicious Traffic Detection in Programmable Switches
inferred← citeshttps://doi.org/10.1145/3690624.3709218openalex-snapshot
Wedjat: Detecting Sophisticated Evasion Attacks via Real-time Causal Analysis
inferred← citeshttps://doi.org/10.1145/3690624.3709315openalex-snapshot
Towards Context-Aware Traffic Classification via Time-Wavelet Fusion Network
inferred← citeshttps://doi.org/10.1145/3696410.3714742openalex-snapshot
Helios: Learning and Adaptation of Matching Rules for Continual In-Network Malicious Traffic Detection
inferred← citeshttps://doi.org/10.1145/3696410.3714876openalex-snapshot
AdvTG: An Adversarial Traffic Generation Framework to Deceive DL-Based Malicious Traffic Detection Models
inferred← citeshttps://doi.org/10.1145/3711129.3711181openalex-snapshot
Real-Time Intrusion Detection Method Based on Frequency Domain Simplified Dual-PINN
inferred← citeshttps://doi.org/10.1145/3719027.3744800openalex-snapshot
FlowSentry: Accelerating NetFlow-based DDoS Detection
inferred← citeshttps://doi.org/10.1145/3719027.3765143openalex-snapshot
Training with Only 1.0 ‰ Samples: Malicious Traffic Detection via Cross-Modality Feature Fusion
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