IJAIEM

Sahiba Sulthana, SK. Sajitha

Abstract

The Internet has become a vital tool in our contemporary lives, impacting both our personal and professional lives. A growing number of customers are opting to make their purchases online due to this. Users of the internet may be susceptible to several online dangers due to this reality. Financial loss, credit card theft, data breaches, brand harm, and consumer distrust in e-commerce and online banking are all possible outcomes of these dangers. One kind of cyber hazard is phishing, which is when a criminal creates a fake website in order to trick users into giving up important information (such as login credentials, passwords, and credit card numbers). Methods for identifying phishing attempts are the subject of this study. To identify a phishing attempt, this research used a machine learning strategy. Consequently, this study achieved a 94% success rate in detecting phishing attempts.