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Phishing Classifier For Websites

By Dhairyashil More

Phishing Classifier For Websites

By Dhairyashil More

0 - Default Title
Description
The book involves the development of a web-based application that integrates multiple machine learning models-including XGBoost, Logistic Regression, and Gaussian Naive Bayes-to classify URLs as either phishing or legitimate. The models were trained using real world datasets consisting of over 5,000 phishing URLs and 5,000 legitimate ones, collected from trusted sources like Phish Tank and the University of New Brunswick. Key steps in the system include data preprocessing, feature selection, and feature extraction, focusing on elements like URL structure, domain age, and embedded scripts. The system leverages exploratory data analysis to visualize data insights and employs Principal Component Analysis (PCA) to optimize the model by reducing redundant data.
Product details
Binding:
Paperback
Number of Pages:
60
Release Date:
2025-10-27
Publication Date:
2025-10-27
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
620844456X
ISBN13:
9786208444563
Weight:
107 g
Height:
150 cm
Width:
220 cm
Thickness:
4 cm
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