AN INTELLIGENT IDENTIFICATION AND CLASSIFICATION SYSTEM FOR PHISHING UNIFORM RESOURCE LOCATORS (URLs)

Cybersecurity is an issue of most significance today, and it is important to detect and mitigate such phishing Uniform Resource Locators (URLs).One approach for detecting phishing URLs using machine learning techniques is presented in this research.The proposed system uses a combination of benign and phishing URLs as a dataset to train various machine learning models.Feature engineering can be used to extract important attributes from URLs, while different algorithms are combined in order to find the best model.To assess how efficacious the suggested solution is, this study measures its performance by means of accuracy, precision, recall, and F1 score.As illustrated by the findings, the authors have successfully applied the machine-learningbased method for distinguishing between safe and fake URLs, which can be utilized as valuable tools leading to better online security measures.This article offers an intelligent algorithm that detects phishing URLs, thereby contributing to strengthening the cybersecurity framework in use presently.