K-Nearest Neighbor Based URL Identification Model for Phishing Attack Detection

Phishing causes many problems in business industry. The electronic commerce and banking such as mobile involves a number of online transaction. In transactions, we have to discriminate features related legitimate phishing websites order ensure security the this study, collected data form phish tank public repository proposed K-Nearest Neighbors (KNN) based model for attack detection. detects through URL classification. performance is tested empirically result analyzed. Experimental on test set reveals that efficient Furthermore, K value gives better accuracy determined achieve Overall, average 85.08%.