An Enhanced Phishing Detection System in Online Transactions

Abstract

Phishing attacks have become an ever-increasing challenge during online transactions via various payment platforms thereby making it important for cyber security experts to tackle and solve this problem. Hence, this research aimed to address this challenge by creating a web-based system that not only detects phishing attempts but also empowers users to navigate the digital landscape securely. The research focused on leveraging cutting-edge technologies such as JavaScript, Node.js, HTML, and CSS to build a robust and user-friendly phishing detection plugin. This system provided real-time alerts and insights when users interact with potentially malicious websites. Evaluation of the system's user experiences shows that 68.42% of respondents found the system's user experience and ease of installation exceptional, with 20% rating it as good. The system's effectiveness in detecting phishing threats received a high satisfaction rate of 73.68%, and an impressive 84.21% responsiveness score indicates its efficiency in delivering timely responses. Moreover, 78.95% of users expressed satisfaction with the system's overall performance, and 84.21% would recommend it to others based on their positive experiences. The average satisfaction index of 77.89% confirms the system's quality and effectiveness. Overall, this research significantly advances online transaction security by developing an innovative phishing detection system. From problem identification to system development, validation, and user reception, this research contributes to safer digital interactions and trust-building in the dynamic technology landscape.