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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 51–75 of 261 papers

TitleStatusHype
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI—0
A Network Intrusions Detection System based on a Quantum Bio Inspired Algorithm—0
A Temporal Convolutional Network-based Approach for Network Intrusion Detection—0
A Transfer Learning Approach for Network Intrusion Detection—0
Attribute Learning for Network Intrusion Detection—0
A Virtual Cybersecurity Department for Securing Digital Twins in Water Distribution Systems—0
Unsupervised Network Intrusion Detection System for AVTP in Automotive Ethernet Networks—0
Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection—0
An incremental hybrid adaptive network-based IDS in Software Defined Networks to detect stealth attacks—0
Benchmarking the Benchmark -- Analysis of Synthetic NIDS Datasets—0
A Combination of Temporal Sequence Learning and Data Description for Anomaly-based NIDS—0
BS-GAT Behavior Similarity Based Graph Attention Network for Network Intrusion Detection—0
Detecting Unknown Attacks in IoT Environments: An Open Set Classifier for Enhanced Network Intrusion Detection—0
Analyzing and Storing Network Intrusion Detection Data using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings—0
A Robust Comparison of the KDDCup99 and NSL-KDD IoT Network Intrusion Detection Datasets Through Various Machine Learning Algorithms—0
Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation—0
Are We There Yet? Unraveling the State-of-the-Art Graph Network Intrusion Detection Systems—0
An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection—0
A Dependable Hybrid Machine Learning Model for Network Intrusion Detection—0
Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks—0
A Novel Resampling Technique for Imbalanced Dataset Optimization—0
A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System—0
A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection—0
A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks—0
A Defensive Framework Against Adversarial Attacks on Machine Learning-Based Network Intrusion Detection Systems—0
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