NSL-KDD

NSL-KDD The data set is a data set that converts the arff File provided by the link into CSV and results. The data set is personally stored by converting data to float64. If you want to obtain additional original files, they are organized in the Original Directory in the repo. Labels The label of the data set is as fol

Papers using NSL-KDD (36)

Anomaly-based intrusion detection on benchmark datasets for network security: a comprehensive evaluation2026 · 5 citesCAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network For Network Intrusion Detection2025 · 9 citesCritical Minority-Class Attack Detection for Industrial Internet Based on Improved Conditional Generative Adversarial Networks2026 · 1 citesDesign of Dynamic Network Security Defense Mechanism Driven by Light GBM2026 · 1 citesScgnet-stacked Convolution With Gated Recurrent Unit Network For Cyber Network Intrusion Detection And Intrusion Type Classification2024 · 1 citesOn the Evaluation of Spiking Neural Network Configurations for Network Intrusion Detection2026Implementation of an intelligent multi-cyber threat detection model based on double-deep Q-networks and CNN2026An Advanced DL Architecture for Furious Network Security2026Enhancing bidirectional gated recurrent unit with activation mechanism for anomaly classification for network security2026Network Attack Sample Generation and Detection Based on Generative Adversarial Networks2026AI-Powered Intrusion Detection System for Intelligent Network Security Using Machine Learning - Detection of Network and IoT Attacks Using NSL-KDD and Bot-IoT Datasets2026Intelligent Security Threat Detection in Cloud Computing Using Machine Learning Techniques2026CLSTMNet Architecture: A CNN–LSTM-Based Hybrid Deep Learning Model for DDoS Attack Detection and Mitigation in Network Security2026AI-Driven Machine Learning Model for Real-Time Cyber Threat Detection in Network Environments2026Enterprise Network Security Using Few‐Shot Meta‐Learning2026Adversarial Vulnerability Analysis of Deep Neural Network-Based Intrusion Detection Systems Using FGSM and PGD Attacks2026Machine Learning Based Intrusion Detection System for Network Security2026A Novel Byte-Level Flow-to-Image Encoding Method for Network Intrusion Detection Systems2026UNAD+: An Explainable Hybrid Framework for Unknown Network Attack Detection2026Enhancing Network Intrusion Detection Systems: A Multi-Layer Ensemble Approach to Mitigate Adversarial Attacks2026Understanding AI Methods for Intrusion Detection and Cryptographic Leakage2026GMA-SAWGAN-GP: A Novel Data Generative Framework to Enhance IDS Detection Performance2026KAN-LSTM: Benchmarking Kolmogorov-Arnold Networks for Cyber Security Threat Detection in IoT Networks2026Agentic AI for Cybersecurity: A Meta-Cognitive Architecture for Governable Autonomy2026Adaptive Intrusion Detection System Leveraging Dynamic Neural Models with Adversarial Learning for 5G/6G Networks2025StealthCup: Realistic, Multi-Stage, Evasion-Focused CTF for Benchmarking IDS2025IntrusionX: A Hybrid Convolutional-LSTM Deep Learning Framework with Squirrel Search Optimization for Network Intrusion Detection2025Attack-Specialized Deep Learning with Ensemble Fusion for Network Anomaly Detection2025AI-Enhanced Intelligent NIDS Framework: Leveraging Metaheuristic Optimization for Robust Attack Detection and Prevention2025What Does Normal Even Mean? Evaluating Benign Traffic in Intrusion Detection Datasets2025BERTector: An Intrusion Detection Framework Constructed via Joint-dataset Learning Based on Language Model2025GPU-Accelerated Interpretable Generalization for Rapid Cyberattack Detection and Forensics2025A Review of Various Datasets for Machine Learning Algorithm-Based Intrusion Detection System: Advances and Challenges2025MAGE-ID: A Multimodal Generative Framework For Intrusion Detection Systems2025An Automl-based Approach For Network Intrusion Detection2024 · 1 citesSynGAN: Towards Generating Synthetic Network Attacks using GANs2019 · 29 cites