Trying to gather personal information through deceptive ways is becoming more common nowadays. In order to assist the user to be aware of the access to such websites, the implemented system notifies the user through email and also pop-up, when trying to access a phishing site. This paper proposes an approach of phishing detection system to detect blacklisted URL also known as phishing websites, so that individual can be alerted while browsing or accessing a particular website. Therefore, it can be utilized for identification and authentication and become a legitimate tool to prevent an individual from getting tricked.
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Detecting Phishing Website Using Machine Learning
Semantic Scholar · Computer Science · 2020
Abstract
Trying to gather personal information through deceptive ways is becoming more common nowadays. In order to assist the user to be aware of the access to such websites, the implemented system notifies the user through email and also pop-up, when trying to access a phishing site. This paper proposes an approach of phishing detection system to detect blacklisted URL also known as phishing websites, so that individual can be alerted while browsing or accessing a particular website. Therefore, it can be utilized for identification and authentication and become a legitimate tool to prevent an individual from getting tricked.