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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 201–250 of 261 papers

TitleStatusHype
Active Learning for Network Intrusion Detection—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
A Deep Belief Network Based Machine Learning System for Risky Host Detection—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
SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection—0
Two-stage Deep Stacked Autoencoder with Shallow Learning for Network Intrusion Detection System—0
SecureBERT and LLAMA 2 Empowered Control Area Network Intrusion Detection and Classification—0
Security Evaluation of Pattern Classifiers under Attack—0
Segmented Federated Learning for Adaptive Intrusion Detection System—0
Untargeted White-box Adversarial Attack with Heuristic Defence Methods in Real-time Deep Learning based Network Intrusion Detection System—0
A Combination of Temporal Sequence Learning and Data Description for Anomaly-based NIDS—0
Sequential Binary Classification for Intrusion Detection—0
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection—0
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection—0
Sorting out typicality with the inverse moment matrix SOS polynomial—0
Use Dimensionality Reduction and SVM Methods to Increase the Penetration Rate of Computer Networks—0
Spiking Neural Networks with Single-Spike Temporal-Coded Neurons for Network Intrusion Detection—0
Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems—0
Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning—0
Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review—0
Survey of Network Intrusion Detection Methods from the Perspective of the Knowledge Discovery in Databases Process—0
SynGAN: Towards Generating Synthetic Network Attacks using GANs—0
V-CNN: When Convolutional Neural Network encounters Data Visualization—0
WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems—0
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks—0
A Novel Approach To Network Intrusion Detection System Using Deep Learning For Sdn: Futuristic Approach—0
A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks—0
Systematic Evaluation of Synthetic Data Augmentation for Multi-class NetFlow Traffic—0
A Novel Resampling Technique for Imbalanced Dataset Optimization—0
Cybersecurity Anomaly Detection in Adversarial Environments—0
TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems—0
Are We There Yet? Unraveling the State-of-the-Art Graph Network Intrusion Detection Systems—0
A Robust Comparison of the KDDCup99 and NSL-KDD IoT Network Intrusion Detection Datasets Through Various Machine Learning Algorithms—0
WOTBoost: Weighted Oversampling Technique in Boosting for imbalanced learning—0
ASNM Datasets: A Collection of Network Traffic Features for Testing of Adversarial Classifiers and Network Intrusion Detectors—0
Assessing Cyclostationary Malware Detection via Feature Selection and Classification—0
Anomaly based network intrusion detection for IoT attacks using deep learning technique—0
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection—0
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI—0
TANTRA: Timing-Based Adversarial Network Traffic Reshaping Attack—0
A Temporal Convolutional Network-based Approach for Network Intrusion Detection—0
A Transfer Learning Approach for Network Intrusion Detection—0
Attribute Learning for Network Intrusion Detection—0
A Virtual Cybersecurity Department for Securing Digital Twins in Water Distribution Systems—0
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