IDS
Datasets
All datasets matching “IDS”ids-project-artifactscic-ids-2017
CIC-IDS-2017 Dataset
This repository contains the CIC-IDS-2017 dataset with the original PCAPs and the CSVs converted to Parquet format for easier use.
Dataset Structure
Configurations
machine_learning: Contains the flow-based features used for ML training (Converted from MachineLearningCVE CSVs).
traffic_labels: Contains the labelled flows (Converted from TrafficLabelling CSVs). Timestamps have been normalized to UTC.
Raw Data
The pcap/ folder… See the full description on the dataset page: https://huggingface.co/datasets/bvsam/cic-ids-2017.CIC-IDS2017We 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. These datasets, which initially were only flow datasets, have been enhanced to include packet-level information from the raw PCAP files. The dataset contains both… See the full description on the dataset page: https://huggingface.co/datasets/rdpahalavan/CIC-IDS2017.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.the-stack-v2-train-smol-ids-updatedUpdate on The Stack V2 dataset: https://huggingface.co/datasets/bigcode/the-stack-v2-train-smol-ids
All repos from original dataset are parsed with Github API and re-downloaded,
so respective updates are kept, metadata is updated. This took 10+ days to process due to GraphQL limits.
Filtering rules
Removed repos with no update in the last 6 years (no updates since September 2019)
Removed files with a single line
Removed repos with a single file
Removed repos with more than 99%… See the full description on the dataset page: https://huggingface.co/datasets/thepowerfuldeez/the-stack-v2-train-smol-ids-updated.pcod_graph_ids