SOTAVerified

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

Showing 176200 of 261 papers

TitleStatusHype
From Zero-Shot Machine Learning to Zero-Day Attack Detection0
Feature Analysis for Machine Learning-based IoT Intrusion Detection0
Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks0
A new semi-supervised inductive transfer learning framework: Co-Transfer0
Learning to Detect: A Data-driven Approach for Network Intrusion Detection0
Decision-forest voting scheme for classification of rare classes in network intrusion detection0
Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks0
Segmented Federated Learning for Adaptive Intrusion Detection System0
On the Evaluation of Sequential Machine Learning for Network Intrusion Detection0
Towards a Privacy-preserving Deep Learning-based Network Intrusion Detection in Data Distribution Services0
Cybersecurity Anomaly Detection in Adversarial Environments0
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT0
Benchmarking the Benchmark -- Analysis of Synthetic NIDS Datasets0
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection0
Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review0
Exploring Edge TPU for Network Intrusion Detection in IoT0
Explaining Network Intrusion Detection System Using Explainable AI Framework0
TANTRA: Timing-Based Adversarial Network Traffic Reshaping Attack0
Federated Intrusion Detection for IoT with Heterogeneous Cohort Privacy0
Intrusion detection in IoT using artificial neural networks on UNSW-15 dataset0
Towards Network Traffic Monitoring Using Deep Transfer Learning0
A Novel Resampling Technique for Imbalanced Dataset Optimization0
A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset0
RNNIDS: Enhancing Network Intrusion Detection Systems through Deep Learning0
Review: Deep Learning Methods for Cybersecurity and Intrusion Detection Systems0
Show:102550
← PrevPage 8 of 11Next →

No leaderboard results yet.