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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 126–150 of 261 papers

TitleStatusHype
A new semi-supervised inductive transfer learning framework: Co-Transfer—0
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection—0
An incremental hybrid adaptive network-based IDS in Software Defined Networks to detect stealth attacks—0
An Interpretable Federated Learning-based Network Intrusion Detection Framework—0
Anomaly based network intrusion detection for IoT attacks using deep learning technique—0
Cybersecurity Anomaly Detection in Adversarial Environments—0
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks—0
A Novel Approach To Network Intrusion Detection System Using Deep Learning For Sdn: Futuristic Approach—0
A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks—0
A Novel Resampling Technique for Imbalanced Dataset Optimization—0
Are We There Yet? Unraveling the State-of-the-Art Graph Network Intrusion Detection Systems—0
Security Evaluation of Pattern Classifiers under Attack—0
Segmented Federated Learning for Adaptive Intrusion Detection System—0
Sequential Binary Classification for 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
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
Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review—0
Survey of Network Intrusion Detection Methods from the Perspective of the Knowledge Discovery in Databases Process—0
SynGAN: Towards Generating Synthetic Network Attacks using GANs—0
Systematic Evaluation of Synthetic Data Augmentation for Multi-class NetFlow Traffic—0
TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems—0
TANTRA: Timing-Based Adversarial Network Traffic Reshaping Attack—0
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