Phishing Website Prediction Using Machine Learning And Explainable AI
Date
2022
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Phishing websites look just like regular websites but are used to hack into other people's servers and steal their information. It is mainly used by hackers who intend to steal user data and identity. These hackers steal the most common user data: our login credentials and credit card numbers. It is difficult for an ordinary human to identify a phishing website from an official and secured website. They can be the target of a phishing attack without even realizing it. The proposed project is on phishing website prediction using machine learning. The objective and project aim is to make predictions about Phishing websites using Machine Learning and Explainable AL. Since it is difficult for users to realize whether the website will hack information, a model is being created to solve the problem. For that, machine learning models will be trained on phishing website features to identify such websites in the future. My Application will guard against user data leakage through the website. It ensures data protection on different levels, such as personal, organizational, and national.
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Electrical and Computer Engineering
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North South University