UNSW-NB15

Source https://www.kaggle.com/datasets/dhoogla/unswnb15?resource=download Dataset This is an academic intrusion detection dataset. All the credit goes to the original authors: dr. Nour Moustafa and dr. Jill Slay. Please cite their original paper and all other appropriate articles listed on the UNSW-NB15 page. The full

Papers using UNSW-NB15 (43)

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 citesAgentic Intelligence for Unified Cyber Defense: A Self-Adaptive Framework for Threat Detection Across Cloud, Edge, and IoT Systems2026 · 2 citesBeyond Gradient-Based Attacks: Adversarial Robustness and Explainability Stability in Cybersecurity Classifiers2026BARS: Benign-Anchored Ranking and Selection for False Alarm Reduction in Network Intrusion Detection2026Enhancing Autonomous Online Intrusion Detection for IoT with Balanced Learning, Reliable Pseudo-Labels, and Lightweight Architectures2026Quantum transfer learning for cross-domain cybersecurity threat detection and categorization2026 · 1 citesCritical Minority-Class Attack Detection for Industrial Internet Based on Improved Conditional Generative Adversarial Networks2026 · 1 citesHybridGuard: Enhancing Minority-Class Intrusion Detection in Dew-Enabled Edge-of-Things Networks2025 · 1 citesGenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks2026Quantum-Inspired Reinforcement Learning for Low-Latency Intrusion Detection in V2X and Internet-of-Vehicles Networks2026Multi-Source Cybersecurity Logs: An ATT&CK-Labeled Dataset and SLM Evaluation2026CRYPTOGRAPHIC MODELS FOR ADAPTIVE THREAT DETECTION IN CLOUD-BASED INFRASTRUCTURES2026Network Security Posture Assessment Algorithm Based on Multilayer Perceptron of Graph Convolutional Neural Networks2026AnomalyX: An Adaptive Threat Detection System Using Retrieval-Augmented Generation and Advanced Time-Series Analytics2026Enhancing bidirectional gated recurrent unit with activation mechanism for anomaly classification for network security2026Quantum-AI Models for Real-Time Cybersecurity Threat Detection and Adaptive Defense2026Enterprise Network Security Using Few‐Shot Meta‐Learning2026Emerging Trends in Malware Detection: The Role of Generative AI in Cyber Defense2026Beyond performance metrics: evaluating the unique value of generative AI in hybrid cybersecurity threat detection2026FIRCE: A Framework for Intrusion Response and Conformal Evaluation2026LiteShield: Hybrid Feature Selection-Driven Lightweight Intrusion Detection for Resource-Constrained IoT Networks2026Assessing Generalisation Capability of Machine Learning Models for Intrusion Detection2026A Novel Byte-Level Flow-to-Image Encoding Method for Network Intrusion Detection Systems2026Enhancing Adversarial Robustness in Network Intrusion Detection: A Layer-wise Adaptive Regularization Approach2026From Detection to Response: A Deep Learning and Retrieval-Augmented Generation Framework for Network Intrusion Mitigation2026CALIBURN: Operationally Calibrated Streaming Intrusion Detection with Regime-Dependent Conformal Risk Control2026PARD-SSM: Probabilistic Cyber-Attack Regime Detection via Variational Switching State-Space Models2026Enhancing Network Intrusion Detection Systems: A Multi-Layer Ensemble Approach to Mitigate Adversarial Attacks2026Machine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data Generation2026GMA-SAWGAN-GP: A Novel Data Generative Framework to Enhance IDS Detection Performance2026KAN-LSTM: Benchmarking Kolmogorov-Arnold Networks for Cyber Security Threat Detection in IoT Networks2026Empirical Analysis of Adversarial Robustness and Explainability Drift in Cybersecurity Classifiers2026Comparative Evaluation of VAE, GAN, and SMOTE for Tor Detection in Encrypted Network Traffic2026Quantum AI for Cybersecurity: A hybrid Quantum-Classical models for attack path analysis2026Memory-Augmented Log Analysis with Phi-4-mini: Enhancing Threat Detection in Structured Security Logs2025Hierarchical Multi-Modal Threat Intelligence Fusion Without Aligned Data: A Practical Framework for Real-World Security Operations2025An Investigation into the Performance of Non-Contrastive Self-Supervised Learning Methods for Network Intrusion Detection2025Attention Augmented GNN RNN-Attention Models for Advanced Cybersecurity Intrusion Detection2025Hybrid Deep Learning-Federated Learning Powered Intrusion Detection System for IoT/5G Advanced Edge Computing Network2025What Does Normal Even Mean? Evaluating Benign Traffic in Intrusion Detection Datasets2025Contrastive-KAN: A Semi-Supervised Intrusion Detection Framework for Cybersecurity with scarce Labeled Data2025A Review of Various Datasets for Machine Learning Algorithm-Based Intrusion Detection System: Advances and Challenges2025