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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 201–225 of 261 papers

TitleStatusHype
NIDS Neural Networks Using Sliding Time Window Data Processing with Trainable Activations and its Generalization Capability—0
One-Shot Learning on Attributed Sequences—0
On Generalisability of Machine Learning-based Network Intrusion Detection Systems—0
Onion-Peeling Outlier Detection in 2-D data Sets—0
On the Evaluation of Sequential Machine Learning for Network Intrusion Detection—0
On the (Statistical) Detection of Adversarial Examples—0
PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning—0
Pelican: A Deep Residual Network for Network Intrusion Detection—0
Performance Comparison and Implementation of Bayesian Variants for Network Intrusion Detection—0
POET: A Self-learning Framework for PROFINET Industrial Operations Behaviour—0
PolyLUT: Ultra-low Latency Polynomial Inference with Hardware-Aware Structured Pruning—0
Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis—0
PPT-GNN: A Practical Pre-Trained Spatio-Temporal Graph Neural Network for Network Security—0
Practical Performance of a Distributed Processing Framework for Machine-Learning-based NIDS—0
Prepare for Trouble and Make it Double. Supervised and Unsupervised Stacking for AnomalyBased Intrusion Detection—0
PWG-IDS: An Intrusion Detection Model for Solving Class Imbalance in IIoT Networks Using Generative Adversarial Networks—0
PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection—0
Rallying Adversarial Techniques against Deep Learning for Network Security—0
Real-time Network Intrusion Detection via Decision Transformers—0
Real-time Regular Expression Matching—0
Review: Deep Learning Methods for Cybersecurity and Intrusion Detection Systems—0
Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems—0
RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture—0
RNNIDS: Enhancing Network Intrusion Detection Systems through Deep Learning—0
A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset—0
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