PHISHING DETECTION USING MACHINE LEARNING

Phishing detection using machine learning can find websites that are trying to trick users. It helps tell the difference between phishing websites and real websites. This method looks at the features of URLs to decide if they are safe or dangerous. The performance of machine learning models is checked using accuracy, precision, recall and F1-score. Using machine learning, for phishing detection can make the internet safer by stopping phishing scams. Future studies can use machine learning to check URLs in time. This would allow phishing detection to work quickly as users browse. It is possible to add phishing detection tools into web browsers. These tools can warn users when they are visiting a website. More research can help make phishing detection faster. Better methods will lead to reliable detection and stronger online security.

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