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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 76–100 of 261 papers

TitleStatusHype
A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection Systems—0
Energy-based Models for Video Anomaly Detection—0
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification—0
Explaining Network Intrusion Detection System Using Explainable AI Framework—0
A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks—0
Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks—0
Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based Approach—0
Deep Neural Networks based Meta-Learning for Network Intrusion Detection—0
Detecting Clusters of Anomalies on Low-Dimensional Feature Subsets with Application to Network Traffic Flow Data—0
1D CNN Based Network Intrusion Detection with Normalization on Imbalanced Data—0
Detecting Unknown Attacks in IoT Environments: An Open Set Classifier for Enhanced Network Intrusion Detection—0
Detection-Rate-Emphasized Multi-objective Evolutionary Feature Selection for Network Intrusion Detection—0
Detect & Reject for Transferability of Black-box Adversarial Attacks Against Network Intrusion Detection Systems—0
Are We There Yet? Unraveling the State-of-the-Art Graph Network Intrusion Detection Systems—0
DI-NIDS: Domain Invariant Network Intrusion Detection System—0
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection—0
Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response—0
DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection—0
DualNet: Locate Then Detect Effective Payload with Deep Attention Network—0
ASNM Datasets: A Collection of Network Traffic Features for Testing of Adversarial Classifiers and Network Intrusion Detectors—0
Early Detection of Network Attacks Using Deep Learning—0
Deep Adversarial Learning in Intrusion Detection: A Data Augmentation Enhanced Framework—0
EdgeServe: A Streaming System for Decentralized Model Serving—0
A Novel Approach To Network Intrusion Detection System Using Deep Learning For Sdn: Futuristic Approach—0
Efficient Network Representation for GNN-based Intrusion Detection—0
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