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NF-UNSW-NB15-V2 Extended NetFlow Data
Data Science and Analytics
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About
Expanded network security data from the University of Queensland offers a significant enhancement to the original NF-NIDS collections, specifically designed to aid in the standardisation of datasets for interoperability and larger-scale analyses. This release represents the NF-UNSW-NB15-V2 iteration, which increases the feature set from 8 to 43 NetFlow features, providing a robust foundation for developing and testing Network Intrusion Detection Systems (NIDS). The data facilitates research into cyber security by offering cleaner, pre-processed information suitable for high-level classification tasks.
Columns
The dataset contains 43 NetFlow features. Based on the provided feature definitions, the columns include:
- Feature: The identifier or index of the NetFlow feature.
- Netflow feature name: The specific name of the attribute recorded.
- Description: A text explanation of the feature (e.g., "Client to Server stream duration (msec)" or "IPv4 source address").
- IPV4_SRC_ADDR: The IPv4 source address involved in the network traffic.
- Client to Server stream duration (msec): The duration of the stream from the client to the server in milliseconds.
Distribution
- Format: The data is available in Parquet format (cleaned) and CSV format (base).
- Structure: Tabular data with correct data types already set in the Parquet files.
- Data Quality: The dataset contains 0 records with missing information and 0 duplicate records, ensuring high usability (rated 10.00).
- Size: The feature set consists of 43 unique NetFlow features.
Usage
- Cyber Security Research: Developing and benchmarking Network Intrusion Detection Systems (NIDS).
- Classification: Training machine learning models to classify network traffic and detect anomalies.
- Network Analysis: Investigating traffic patterns using extended NetFlow feature sets.
Coverage
- Scope: The data covers network traffic features extended from the NF-USNW-NB15 dataset.
- Origin: Produced by the University of Queensland (Dr. Mohanad Sarhan, Dr. Siamak Layeghy, and Dr. Marius Portmann).
- Updates: The expected update frequency is 'Never', indicating a static dataset for consistent benchmarking.
License
CC BY-NC-SA 4.0
Who Can Use It
- Academic Researchers: For standardising network security analyses.
- Cyber Security Analysts: For studying intrusion patterns and traffic flow.
- Data Scientists: For training classification algorithms on clean, tabular network data.
Dataset Name Suggestions
- NF-UNSW-NB15-V2 Extended NetFlow Data
- University of Queensland NIDS NetFlow Collection
- 43-Feature Network Security Dataset
- Cleaned NFV2 Traffic Analysis Data
Attributes
Original Data Source: NF-UNSW-NB15-V2 Extended NetFlow Data
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