Machine Learning Technique for Phishing Website Detection

Nurul Amira Binti Mohd Zin, Mohd Faizal Ab Razak, Ahmad Firdaus, Ferda Ernawan, Nor Saradatul Akmar Zulkifli

202311 citationsDOI

Abstract

The Internet has emerged as an indispensable tool in both our personal and professional life in our modern day. As a direct consequence of this, the number of customers who make their purchases over the Internet is quickly increasing. Internet users may be vulnerable to a wide variety of web threats because of this fact. These threats may result in monetary loss, fraudulent use of credit cards, loss of personal data, potential damage to a brand's reputation, and customer mistrust in e-commerce and online banking. Phishing is a sort of cyber threat that may be defined as the practice of imitating a genuine website for the purpose of stealing sensitive information such as usernames, passwords, and credit card numbers. This research focuses on strategies for detecting phishing attacks. This study apply a machine learning approach to detect a phishing attack. As a result, this study able to detect phishing with accuracy 94%.

Topics & Concepts

PhishingCredit cardPasswordReputationInternet privacyThe InternetComputer scienceComputer securityInternet usersPersonally identifiable informationMalwareWorld Wide WebPaymentSociologySocial scienceSpam and Phishing DetectionAdvanced Malware Detection TechniquesWeb Application Security Vulnerabilities