WebDec 1, 2024 · Data were acquired through the publicly available lists of phishing and legitimate websites, from which the features presented in the datasets were extracted. … WebDataset. Il dataset utilizzato per questo progetto è composto da 10000 esempi di siti web, di cui 5000 legittimi e 5000 di phishing. Le caratteristiche utilizzate per l'addestramento del modello di machine learning includono varie caratteristiche di un URL, come per esempio il numero di punti, la presenza di parole chiave e altre informazioni.

WhatAPhish: Detecting Phishing Websites by Vibhu Agrawal

WebContent. This dataset contains 48 features extracted from 5000 phishing webpages and 5000 legitimate webpages, which were downloaded from January to May 2015 and from … WebThe final conclusion on the Phishing dataset is that the some feature like "HTTTPS", "AnchorURL", "WebsiteTraffic" have more importance to classify URL is phishing URL … inclination\u0027s md

OpenPhish - OpenPhish Database

WebIn 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. … WebOct 6, 2024 · Phishing website dataset consist of 89 variables, by applying these three feature selection techniques we obtained 29 most important features (attributes) and … WebPhishing Websites Dataset #2 Such Dataset have been collected using our own tool, in the attached pdf document you can find details of the dataset and the features in these datasets All datasets were collected using our own tool (Mohammad, McCluskey, & Thabtah, 2012), and based on the extraction rules suggested in this article. inbreeding in the royal family