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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 131–140 of 261 papers

TitleStatusHype
EdgeServe: A Streaming System for Decentralized Model Serving—0
Deep Neural Networks based Meta-Learning for Network Intrusion Detection—0
Anomaly based network intrusion detection for IoT attacks using deep learning technique—0
Towards Adversarial Realism and Robust Learning for IoT Intrusion Detection and Classification—0
Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach—0
DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection—0
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection—0
Synthesis of Adversarial DDOS Attacks Using Tabular Generative Adversarial NetworksCode0
Separating Flows in Encrypted Tunnel TrafficCode0
A Dependable Hybrid Machine Learning Model for Network Intrusion Detection—0
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