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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 61–70 of 261 papers

TitleStatusHype
Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection—0
Large Language Models for Cyber Security: A Systematic Literature ReviewCode0
Feature Distribution Shift Mitigation with Contrastive Pretraining for Intrusion Detection—0
Integrating Graph Neural Networks with Scattering Transform for Anomaly Detection—0
An incremental hybrid adaptive network-based IDS in Software Defined Networks to detect stealth attacks—0
Dealing with Imbalanced Classes in Bot-IoT Dataset—0
EG-ConMix: An Intrusion Detection Method based on Graph Contrastive Learning—0
Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural NetworksCode1
A Dual-Tier Adaptive One-Class Classification IDS for Emerging Cyberthreats—0
Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural NetworkCode1
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