FUZZY LOGIC MEETS CYBER SECURITY: A LIGHTWEIGHT MODEL FOR PHISHING WEBSITES DETECTION

Abstract

Real time phishing websites detection is a challenging and dynamic problem because it influenced by uncertainties and multiple factors. Detecting some phishing websites in real-time for a day now is really a dynamic topic involving several features and requirements. Fuzzy logic provides a robust approach to handle the variability and imprecision in such detection task. It offers a natural language framework for evaluating number of qualitative features. This research work describe, an intelligent system to detect phishing website with fuzzy logic concept and data mining techniques. The implementation is a work in progress, and it has seven key features with ongoing efforts to include few more criteria for increase accuracy. The aim of this implementation is to provide an effective solution against security threats and the use of maximum possible fuzzy rules to improve reliability and scalability. By using advancing detection system with fuzzy logic, this research focuses on contribution to a safer online environment and stronger defenses against the most cyber attacks