Malicious Website Identification Using Design Attribute Learning

Published: 14 October 2022| Version 1 | DOI: 10.17632/thd5mhns6c.1
Contributor:
Or Naim

Description

This dataset contains design attributes collected for 35K websites. It was created in Tel Aviv University for Design Learning applications. The data was extracted using advanced web scraping techniques. This is a skewed dataset - 697 of the websites were classified as 'Malicious' (y=1) based on GSB API and the rest are benign (y=0).

Files

Steps to reproduce

The data was extracted using advanced web scraping techniques.

Institutions

Tel Aviv University

Categories

Cybersecurity, World Wide Web, Machine Learning

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