CICIDS2017
Canonical46papers using it
1,800HF downloads
4HF likes
2019first seen
We have developed a Python package as a wrapper around Hugging Face Hub and Hugging Face Datasets library to access this dataset easily. NIDS Datasets The nids-datasets package provides functionality to download and utilize specially curated and extracted datasets from the original UNSW-NB15 and CIC-IDS2017 datasets. T
🤗 Hugging Face⚖ apache-2.0
Papers using CICIDS2017 (46)
- Evaluating Ml-based Anomaly Detection Across Datasets Of Varied Integrity: A Case StudyCAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network For Network Intrusion DetectionAgentic Intelligence for Unified Cyber Defense: A Self-Adaptive Framework for Threat Detection Across Cloud, Edge, and IoT SystemsDo Transformers Actually Help Intrusion Detection? A Temporal Sequence Evaluation on CIC-IDS2017Extending Xreason: Formal Explanations For Adversarial DetectionForensic-Oriented Intrusion Detection Using Synthetic Network Traffic Data and Explainable Artificial IntelligenceBARS: Benign-Anchored Ranking and Selection for False Alarm Reduction in Network Intrusion DetectionA Predictive Neural Network Architecture for Early Detection of Low-Rate CyberattacksQuantum transfer learning for cross-domain cybersecurity threat detection and categorizationDesign of Dynamic Network Security Defense Mechanism Driven by Light GBMHybridGuard: Enhancing Minority-Class Intrusion Detection in Dew-Enabled Edge-of-Things NetworksOn the Evaluation of Spiking Neural Network Configurations for Network Intrusion DetectionExplainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection FrameworkGenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen AttacksSHIELD-IDS: Structurally Heterogeneous Ensemble with Integrated Layered Defense for Intrusion Detection SystemsQuantum-Inspired Reinforcement Learning for Low-Latency Intrusion Detection in V2X and Internet-of-Vehicles NetworksSentinelSphere: An AI-driven cybersecurity platform integrating real-time threat detection with security awareness educationAn Advanced DL Architecture for Furious Network SecurityCybersecurity in AI-Enabled IoT Network: Threat Detection and Mitigation Using Deep LearningQuantum-AI Models for Real-Time Cybersecurity Threat Detection and Adaptive DefenseNeuralGuard: A Real-Time AI-Driven Autonomous Intrusion Prevention System for Network SecurityMachine learning-based framework for dynamic risk assessment and early warning in wireless network security environmentsMachine Learning-Driven Threat Detection and Response Framework for Modern Cybersecurity SystemsNext-Gen Cyber Defense: Integrating Deep Learning into Threat Detection SystemsA Hybrid Deep Learning Architecture for Network Security Situation Awareness and Pre-Alarm in Large-Scale Data Environments Using LSTM, Autoencoder, and GNNEnterprise Network Security Using Few‐Shot Meta‐LearningAdversarial Vulnerability Analysis of Deep Neural Network-Based Intrusion Detection Systems Using FGSM and PGD AttacksEnhancing Trust in Machine Learning via Adversarial Data Attack Detection Using GANsSentinelsphere: Integrating Ai-powered Real-time Threat Detection With Cybersecurity Awareness TrainingUNAD+: An Explainable Hybrid Framework for Unknown Network Attack DetectionCALIBURN: Operationally Calibrated Streaming Intrusion Detection with Regime-Dependent Conformal Risk ControlPARD-SSM: Probabilistic Cyber-Attack Regime Detection via Variational Switching State-Space ModelsMachine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data GenerationGMA-SAWGAN-GP: A Novel Data Generative Framework to Enhance IDS Detection PerformanceKAN-LSTM: Benchmarking Kolmogorov-Arnold Networks for Cyber Security Threat Detection in IoT NetworksAgentic AI for Cybersecurity: A Meta-Cognitive Architecture for Governable AutonomyDetecting Cybersecurity Threats by Integrating Explainable AI with SHAP Interpretability and Strategic Data SamplingMALCDF: A Distributed Multi-Agent LLM Framework for Real-Time CyberAn explainable Recursive Feature Elimination to detect Advanced Persistent Threats using Random Forest classifierStealthCup: Realistic, Multi-Stage, Evasion-Focused CTF for Benchmarking IDSAdaptive Deception Framework with Behavioral Analysis for Enhanced Cybersecurity DefenseWhat Does Normal Even Mean? Evaluating Benign Traffic in Intrusion Detection DatasetsA Review of Various Datasets for Machine Learning Algorithm-Based Intrusion Detection System: Advances and ChallengesMAGE-ID: A Multimodal Generative Framework For Intrusion Detection SystemsNeurosymbolic Artificial Intelligence For Robust Network Intrusion Detection: From Scratch To Transfer LearningSynGAN: Towards Generating Synthetic Network Attacks using GANs