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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 231–240 of 261 papers

TitleStatusHype
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
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
WOTBoost: Weighted Oversampling Technique in Boosting for imbalanced learning—0
A Novel Resampling Technique for Imbalanced Dataset Optimization—0
Cybersecurity Anomaly Detection in Adversarial Environments—0
TANTRA: Timing-Based Adversarial Network Traffic Reshaping Attack—0
Are We There Yet? Unraveling the State-of-the-Art Graph Network Intrusion Detection Systems—0
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