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Network Intrusion Detection

Network intrusion detection is the task of monitoring network traffic to and from all devices on a network in order to detect computer attacks.

Papers

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Showing 201–225 of 261 papers

TitleStatusHype
PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection—0
Rallying Adversarial Techniques against Deep Learning for Network Security—0
Real-time Network Intrusion Detection via Decision Transformers—0
Real-time Regular Expression Matching—0
A Deep Belief Network Based Machine Learning System for Risky Host Detection—0
Review: Deep Learning Methods for Cybersecurity and Intrusion Detection Systems—0
Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems—0
RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture—0
RNNIDS: Enhancing Network Intrusion Detection Systems through Deep Learning—0
A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset—0
SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection—0
Two-stage Deep Stacked Autoencoder with Shallow Learning for Network Intrusion Detection System—0
SecureBERT and LLAMA 2 Empowered Control Area Network Intrusion Detection and Classification—0
Security Evaluation of Pattern Classifiers under Attack—0
Segmented Federated Learning for Adaptive Intrusion Detection System—0
Untargeted White-box Adversarial Attack with Heuristic Defence Methods in Real-time Deep Learning based Network Intrusion Detection System—0
A Combination of Temporal Sequence Learning and Data Description for Anomaly-based NIDS—0
Sequential Binary Classification for Intrusion Detection—0
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection—0
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection—0
Sorting out typicality with the inverse moment matrix SOS polynomial—0
Use Dimensionality Reduction and SVM Methods to Increase the Penetration Rate of Computer Networks—0
Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection—0
Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems—0
Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning—0
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