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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 226–250 of 261 papers

TitleStatusHype
SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection—0
SecureBERT and LLAMA 2 Empowered Control Area Network Intrusion Detection and Classification—0
Security Evaluation of Pattern Classifiers under Attack—0
Segmented Federated Learning for Adaptive Intrusion Detection System—0
Hybrid Isolation Forest - Application to Intrusion DetectionCode0
Data Distribution ValuationCode0
A Comprehensive Comparative Study of Individual ML Models and Ensemble Strategies for Network Intrusion Detection SystemsCode0
Implementing Lightweight Intrusion Detection System on Resource Constrained DevicesCode0
SCGNet-Stacked Convolution with Gated Recurrent Unit Network for Cyber Network Intrusion Detection and Intrusion Type ClassificationCode0
Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection SystemsCode0
LuNet: A Deep Neural Network for Network Intrusion DetectionCode0
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly DetectionCode0
The Cross-evaluation of Machine Learning-based Network Intrusion Detection SystemsCode0
Benchmarking datasets for Anomaly-based Network Intrusion Detection: KDD CUP 99 alternativesCode0
Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber SecurityCode0
Synthesis of Adversarial DDOS Attacks Using Tabular Generative Adversarial NetworksCode0
Enhanced Convolution Neural Network with Optimized Pooling and Hyperparameter Tuning for Network Intrusion DetectionCode0
A Taxonomy of Network Threats and the Effect of Current Datasets on Intrusion Detection SystemsCode0
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion DetectionCode0
Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for Intrusion DetectionCode0
Separating Flows in Encrypted Tunnel TrafficCode0
Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion DetectionCode0
Synthesis of a Machine Learning Model for Detecting Computer Attacks Based on the CICIDS2017 DatasetCode0
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection?Code0
A Novel Multi-Stage Approach for Hierarchical Intrusion DetectionCode0
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