datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CIC-IDS2017The CICIDS2017 dataset consists of labeled network flows, including full packet payloads in pcap format, the corresponding profiles and the labeled flows (GeneratedLabelledFlows.zip) and CSV files for machine and deep learning purpose (MachineLearningCSV.zip) are publicly available for researchers. If you are using our dataset, you should cite our related paper which outlining the details of the dataset and its underlying principles:
Iman Sharafaldin, Arash Habibi Lashkari, and Ali A.… See the full description on the dataset page: https://huggingface.co/datasets/c01dsnap/CIC-IDS2017.CICIDS-2017Raw network data was collected over a period of 5 days, Monday through Friday, and stored in PCAP files.
Monday was used to create most of the Benign data, while the Attack-Network implemented various types of attacks over the next 4 days,
such as Brute Force connections (FTP and SSH), several types of DoS attacks, as well as a Botnet attack, Infiltration attacks and subsequent Port-Scanning activity.
The PCAP data was processed using a tool developed by one of the authors of [1], called… See the full description on the dataset page: https://huggingface.co/datasets/bvk/CICIDS-2017.CICIDS-2017CIC-IDS2017The CICIDS2017 dataset consists of labeled network flows, including full packet payloads in pcap format, the corresponding profiles and the labeled flows (GeneratedLabelledFlows.zip) and CSV files for machine and deep learning purpose (MachineLearningCSV.zip) are publicly available for researchers. If you are using our dataset, you should cite our related paper which outlining the details of the dataset and its underlying principles:
Iman Sharafaldin, Arash Habibi Lashkari, and Ali A.… See the full description on the dataset page: https://huggingface.co/datasets/muzom/CIC-IDS2017.CICIDS-2017-plusCAD-CICIDS2017
CAD-CICIDS2017
Dataset Summary
CAD-CICIDS2017 is a single-source continual anomaly detection benchmark scenario for network intrusion detection. It is derived from CIC-IDS2017 and converts the original tabular network-intrusion data into a sequence of concept-grouped tasks.
The dataset contains 2,076,848 samples, 6 tasks, and has a reported 18.77% anomaly ratio in the test set.
Intended Use
This dataset is intended for research on:
continual… See the full description on the dataset page: https://huggingface.co/datasets/lifelonglab/CAD-CICIDS2017.CIC-IDS2017The CICIDS2017 dataset consists of labeled network flows, including full packet payloads in pcap format, the corresponding profiles and the labeled flows (GeneratedLabelledFlows.zip) and CSV files for machine and deep learning purpose (MachineLearningCSV.zip) are publicly available for researchers. If you are using our dataset, you should cite our related paper which outlining the details of the dataset and its underlying principles:
Iman Sharafaldin, Arash Habibi Lashkari, and Ali A.… See the full description on the dataset page: https://huggingface.co/datasets/ksay1o/CIC-IDS2017.Cic-Ids2017-DiFLCIC-IDS-2017-V2The CIC-IDS-V2 is an extended version of the original CIC-IDS 2017 dataset. The dataset is normalised and 1 new class called "Comb" is added which is a combination of synthesised data of multiple non-benign classes.
To cite the dataset, please reference the original paper with DOI: 10.1109/SmartNets61466.2024.10577645. The paper is published in IEEE SmartNets and can be accessed here:… See the full description on the dataset page: https://huggingface.co/datasets/abluva/CIC-IDS-2017-V2.CICIDS-2017Raw network data was collected over a period of 5 days, Monday through Friday, and stored in PCAP files.
Monday was used to create most of the Benign data, while the Attack-Network implemented various types of attacks over the next 4 days,
such as Brute Force connections (FTP and SSH), several types of DoS attacks, as well as a Botnet attack, Infiltration attacks and subsequent Port-Scanning activity.
The PCAP data was processed using a tool developed by one of the authors of [1], called… See the full description on the dataset page: https://huggingface.co/datasets/vishwa132/CICIDS-2017.cicids_2017Unified CSV file for the CICIDS2017 dataset created using the PCAP parser available here.
Augmented_CIC-IDS2017CICIDS2017-preprocessed-datasetCICIDS-2017Raw network data was collected over a period of 5 days, Monday through Friday, and stored in PCAP files.
Monday was used to create most of the Benign data, while the Attack-Network implemented various types of attacks over the next 4 days,
such as Brute Force connections (FTP and SSH), several types of DoS attacks, as well as a Botnet attack, Infiltration attacks and subsequent Port-Scanning activity.
The PCAP data was processed using a tool developed by one of the authors of [1], called… See the full description on the dataset page: https://huggingface.co/datasets/kumaranimesh1901/CICIDS-2017.CIC-IDS2017CIC-IDS-2017-V2CIC-IDS2017