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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 91–100 of 261 papers

TitleStatusHype
A Dual-Tier Adaptive One-Class Classification IDS for Emerging Cyberthreats—0
Active Learning for Network Intrusion Detection—0
A Combination of Temporal Sequence Learning and Data Description for Anomaly-based NIDS—0
DualNet: Locate Then Detect Effective Payload with Deep Attention Network—0
DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection—0
Early Detection of Network Attacks Using Deep Learning—0
Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response—0
EdgeServe: A Streaming System for Decentralized Model Serving—0
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection—0
A Robust Comparison of the KDDCup99 and NSL-KDD IoT Network Intrusion Detection Datasets Through Various Machine Learning Algorithms—0
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