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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 126–150 of 261 papers

TitleStatusHype
GowFed -- A novel Federated Network Intrusion Detection System—0
TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems—0
CAN-BERT do it? Controller Area Network Intrusion Detection System based on BERT Language Model—0
DI-NIDS: Domain Invariant Network Intrusion Detection System—0
FedDef: Defense Against Gradient Leakage in Federated Learning-based Network Intrusion Detection Systems—0
Network Intrusion Detection System in a Light Bulb—0
Explanation Method for Anomaly Detection on Mixed Numerical and Categorical Spaces—0
Zero-day DDoS Attack Detection—0
A Novel Approach To Network Intrusion Detection System Using Deep Learning For Sdn: Futuristic Approach—0
Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural NetworksCode1
Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems—0
Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection—0
An Intrusion Detection System based on Deep Belief NetworksCode1
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly DetectionCode1
CoAP-DoS: An IoT Network Intrusion Dataset—0
LBDMIDS: LSTM Based Deep Learning Model for Intrusion Detection Systems for IoT Networks—0
On Generalisability of Machine Learning-based Network Intrusion Detection Systems—0
Ensemble Classifier Design Tuned to Dataset Characteristics for Network Intrusion Detection—0
Representation Learning for Content-Sensitive Anomaly Detection in Industrial NetworksCode1
Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based Approach—0
EPASAD: Ellipsoid decision boundary based Process-Aware Stealthy Attack Detector—0
IGRF-RFE: A Hybrid Feature Selection Method for MLP-based Network Intrusion Detection on UNSW-NB15 Dataset—0
The Cross-evaluation of Machine Learning-based Network Intrusion Detection SystemsCode0
Prepare for Trouble and Make it Double. Supervised and Unsupervised Stacking for AnomalyBased Intrusion Detection—0
NetSentry: A Deep Learning Approach to Detecting Incipient Large-scale Network Attacks—0
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