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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
SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection—0
Detecting APT Malware Command and Control over HTTP(S) Using Contextual Summaries—0
Technical Report: Generating the WEB-IDS23 Dataset—0
Investigating Application of Deep Neural Networks in Intrusion Detection System Design—0
PolyLUT: Ultra-low Latency Polynomial Inference with Hardware-Aware Structured Pruning—0
A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network SecurityCode0
Learning in Multiple Spaces: Few-Shot Network Attack Detection with Metric-Fused Prototypical Networks—0
A Temporal Convolutional Network-based Approach for Network Intrusion Detection—0
Flow Exporter Impact on Intelligent Intrusion Detection Systems—0
PyOD 2: A Python Library for Outlier Detection with LLM-powered Model SelectionCode0
Convolutional Neural Networks and Mixture of Experts for Intrusion Detection in 5G Networks and beyond—0
Graph-Powered Defense: Controller Area Network Intrusion Detection for Unmanned Aerial Vehicles—0
An AutoML-based approach for Network Intrusion Detection—0
Feature Selection for Network Intrusion Detection—0
Take Package as Language: Anomaly Detection Using TransformerCode0
Intelligent Green Efficiency for Intrusion Detection—0
SCGNet-Stacked Convolution with Gated Recurrent Unit Network for Cyber Network Intrusion Detection and Intrusion Type ClassificationCode0
Implementing Lightweight Intrusion Detection System on Resource Constrained DevicesCode0
NIDS Neural Networks Using Sliding Time Window Data Processing with Trainable Activations and its Generalization Capability—0
A Comprehensive Comparative Study of Individual ML Models and Ensemble Strategies for Network Intrusion Detection SystemsCode0
XAI-based Feature Selection for Improved Network Intrusion Detection SystemsCode0
Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI—0
Data Distribution ValuationCode0
Enhanced Convolution Neural Network with Optimized Pooling and Hyperparameter Tuning for Network Intrusion DetectionCode0
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection—0
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