CICIDS2017
Canonical36papers using it
1,712HF 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 (36)
- Adaptative Perturbation Patterns: Realistic Adversarial Learning For Robust Intrusion DetectionEvaluating Ml-based Anomaly Detection Across Datasets Of Varied Integrity: A Case StudyImproving Multilayer-perceptron(mlp)-based Network Anomaly Detection With Birch Clustering On CICIDS-2017 DatasetA Comparative Analysis Of Dnn-based White-box Explainable AI Methods In Network SecurityCAGN-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 SystemsAn Investigation Into The Performance Of Non-contrastive Self-supervised Learning Methods For Network Intrusion DetectionDo Transformers Actually Help Intrusion Detection? A Temporal Sequence Evaluation on CIC-IDS2017Extending Xreason: Formal Explanations For Adversarial DetectionQuantum transfer learning for cross-domain cybersecurity threat detection and categorizationDesign of Dynamic Network Security Defense Mechanism Driven by Light GBMFlow Exporter Impact On Intelligent Intrusion Detection SystemsSentinelSphere: 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 TrainingMachine Learning For Network Attacks Classification And Statistical Evaluation Of Adversarial Learning Methodologies For Synthetic Data GenerationAdaptive Deception Framework With Behavioral Analysis For Enhanced Cybersecurity DefenseMAGE-ID: A Multimodal Generative Framework For Intrusion Detection SystemsAn Explainable Recursive Feature Elimination To Detect Advanced Persistent Threats Using Random Forest ClassifierNeurosymbolic Artificial Intelligence For Robust Network Intrusion Detection: From Scratch To Transfer LearningMachine Learning-based Network Intrusion Detection For Big And Imbalanced Data Using Oversampling, Stacking Feature Embedding And Feature ExtractionVaemax: Open-set Intrusion Detection Based On Openmax And Variational AutoencoderAttention-gan For Anomaly Detection: A Cutting-edge Approach To Cybersecurity Threat ManagementBridging The Gap To Real-world For Network Intrusion Detection Systems With Data-centric ApproachOptimizing Intrusion Detection System Performance Through Synergistic Hyperparameter Tuning And Advanced Data ProcessingSynGAN: Towards Generating Synthetic Network Attacks using GANs