Binary-Dataset-of-Phishing-and-Legitimate-URLs
OpenML dataset with id 43622
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102447/Binary-Dataset-of-Phishing-and-Legitimate-URLs.arff
Upload date: 24 March 2022
Dataset Characteristics
Number of features: 15 (numeric: 15, symbolic: 0 and in total binary: 0 )
Number of instances: 11,000
Number of instances with missing values: 0
Number of missing values: 0
Description
The data set is provided csv file which provides the following resources that can be used as inputs for model building :
A collection of website URLs for 11001 websites. Each sample has 15 website parameters and a class label identifying it as a phishing website or not (0 or 1).
If URLs is Phished then label is 0 and for legitimate label is 1
The data set also serves as an input for project scoping and tries to specify the functional and non-functional requirements for it.
This page was built for dataset: Binary-Dataset-of-Phishing-and-Legitimate-URLs
