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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 Novel Multi-Stage Approach for Hierarchical Intrusion DetectionCode0
A Taxonomy of Network Threats and the Effect of Current Datasets on Intrusion Detection SystemsCode0
A Comprehensive Comparative Study of Individual ML Models and Ensemble Strategies for Network Intrusion Detection SystemsCode0
Separating Flows in Encrypted Tunnel TrafficCode0
Synthesis of a Machine Learning Model for Detecting Computer Attacks Based on the CICIDS2017 DatasetCode0
Take Package as Language: Anomaly Detection Using TransformerCode0
Implementing Lightweight Intrusion Detection System on Resource Constrained DevicesCode0
Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber SecurityCode0
A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network SecurityCode0
Data Distribution ValuationCode0
Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection SystemsCode0
EagerNet: Early Predictions of Neural Networks for Computationally Efficient Intrusion DetectionCode0
LuNet: A Deep Neural Network for Network Intrusion DetectionCode0
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly DetectionCode0
Deep Anomaly Detection with Deviation NetworksCode0
Deep Learning Applications for Intrusion Detection in Network TrafficCode0
Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion DetectionCode0
Hybrid Isolation Forest - Application to Intrusion DetectionCode0
BS-GAT Behavior Similarity Based Graph Attention Network for Network Intrusion Detection—0
An Interpretable Federated Learning-based Network Intrusion Detection Framework—0
Benchmarking the Benchmark -- Analysis of Synthetic NIDS Datasets—0
An incremental hybrid adaptive network-based IDS in Software Defined Networks to detect stealth attacks—0
Adversarial Evasion Attacks Practicality in Networks: Testing the Impact of Dynamic Learning—0
Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection—0
Unsupervised Network Intrusion Detection System for AVTP in Automotive Ethernet Networks—0
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