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portada Phishing Classifier For Websites
Type
Physical Book
Publisher
Author
Language
English
Pages
60
Format
Paperback
Dimensions
22.9x15.2x0.4 cm
ISBN13
9786208444563

Phishing Classifier For Websites

More, Dhairyashil; Ingalkar, Abhishek; Kharabe, Pratap (Author) · LAP Lambert Academic Publishing · Paperback

Phishing Classifier For Websites - More, Dhairyashil; Ingalkar, Abhishek; Kharabe, Pratap

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Synopsis "Phishing Classifier For Websites"

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.

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The binding of this edition is Paperback.

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