Experimental Documentation
- Citation Author(s):
-
hao fu
- Submitted by:
- hao fu
- Last updated:
- DOI:
- 10.21227/f1qz-h190
- Research Article Link:
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- Categories:
- Keywords:
Abstract
This dataset is specifically designed to support research related to TIFS(IEEE Transactions on Information Forensics and Security)papers.It offers a comprehensive collection of raw data,extracted feature data,and detailed parameter profiles for the models used in the studies.The raw data includes a wide range of measurements and observations,providing a solid foundation for further analysis.The extracted feature data highlights key characteristics and patterns,making it easier for researchers to identify important trends and insights.Additionally,the detailed parameter profiles offer in-depth information on the configuration and performance of the models,allowing researchers to reproduce and build upon the results.This dataset is a valuable resource for anyone working in the field of information forensics and security,aiming to facilitate high-quality research and innovation.
Instructions:
config.yml is the model configuration file, Patator is the attack dataset, FlowNetoutFeaPatator.json is the extracted features, and all files are combined with the code: https://github.com/gswsfh/BSTS-Net.git
Very helpful dataset