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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 51–100 of 261 papers

TitleStatusHype
A Novel Multi-Stage Approach for Hierarchical Intrusion DetectionCode0
Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion DetectionCode0
A Comprehensive Comparative Study of Individual ML Models and Ensemble Strategies for Network Intrusion Detection SystemsCode0
EagerNet: Early Predictions of Neural Networks for Computationally Efficient Intrusion DetectionCode0
Deep Learning Applications for Intrusion Detection in Network TrafficCode0
Deep Anomaly Detection with Deviation NetworksCode0
Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier DetectionCode0
Data Distribution ValuationCode0
Implementing Lightweight Intrusion Detection System on Resource Constrained DevicesCode0
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion DetectionCode0
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
Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber SecurityCode0
Enhanced Convolution Neural Network with Optimized Pooling and Hyperparameter Tuning for Network Intrusion DetectionCode0
Hybrid Isolation Forest - Application to Intrusion DetectionCode0
XAI-based Feature Selection for Improved Network Intrusion Detection SystemsCode0
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
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection—0
A Virtual Cybersecurity Department for Securing Digital Twins in Water Distribution Systems—0
Attribute Learning for Network Intrusion Detection—0
A new semi-supervised inductive transfer learning framework: Co-Transfer—0
Adv-Bot: Realistic Adversarial Botnet Attacks against Network Intrusion Detection Systems—0
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection—0
A Transfer Learning Approach for Network Intrusion Detection—0
A Temporal Convolutional Network-based Approach for Network Intrusion Detection—0
A New Intrusion Detection System using the Improved Dendritic Cell Algorithm—0
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI—0
A Network Intrusions Detection System based on a Quantum Bio Inspired Algorithm—0
Integrating Graph Neural Networks with Scattering Transform for Anomaly Detection—0
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection—0
Building an Efficient Intrusion Detection System Based on Feature Selection and Ensemble Classifier—0
Assessing Cyclostationary Malware Detection via Feature Selection and Classification—0
ASNM Datasets: A Collection of Network Traffic Features for Testing of Adversarial Classifiers and Network Intrusion Detectors—0
An AutoML-based approach for Network Intrusion Detection—0
A Dual-Tier Adaptive One-Class Classification IDS for Emerging Cyberthreats—0
Active Learning for Network Intrusion Detection—0
A Combination of Temporal Sequence Learning and Data Description for Anomaly-based NIDS—0
DualNet: Locate Then Detect Effective Payload with Deep Attention Network—0
DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection—0
Early Detection of Network Attacks Using Deep Learning—0
Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response—0
EdgeServe: A Streaming System for Decentralized Model Serving—0
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection—0
A Robust Comparison of the KDDCup99 and NSL-KDD IoT Network Intrusion Detection Datasets Through Various Machine Learning Algorithms—0
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