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DATASETS

Phishing Websites

LICENCE
Creative Commons CCZero (CC0-1.0), Open Data Commons Public Domain Dedication and Licence (PDDL-1.0)
DOMAIN
Science and Technology
COVERAGE
EU-wide
FORMATS
ARFF, CSV, JSON, RDF, XLS / XLSX
PERSONAL DATA PROTECTION
No personal data
* Please note that the classification is taken from the original source
One of the challenges faced by our research was the unavailability of reliable training datasets. In fact this challenge faces any researcher in the field. However, although plenty of articles about predicting phishing websites have been disseminated these days, no reliable training dataset has been published publically, may be because there is no agreement in literature on the definitive features that characterize phishing webpages, hence it is difficult to shape a dataset that covers all possible features. In this dataset, we shed light on the important features that have proved to be sound and effective in predicting phishing websites. In addition, we propose some new features.
Disclaimer: This data is provided by a third party. The DIH identifying this data has no responsibility for its content. Please check the provided link to the data for license terms and potential usage restrictions. In case personal data is included in the dataset, the third party who provides the dataset is the data controller of such personal data. Please note that if you use the datasets for your own purposes, you become an independent data controller and are solely responsible for your compliance with relevant data protection laws relating to the processing and security of personal data, with particular reference, but not limited to, the provisions of the General Data Protection Regulation (GDPR), as applicable to the personal data included in the data.

DATA IDENTIFIED/OFFERED BY

MEMBER
Know-Center
TYPE
DIH
COUNTRY
Austria

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