Research Area:
Computer Engineering
KeyWord:
Machine Learning, Computer Vision, Phishing attack
Abstract:
Phishing attacks present a significant threat to online security, as attackers attempt to steal sensitive information or gain unauthorized access by pretending to be a reliable source. This study explores the potential of integrating machine learning (ML) with computer vision techniques to develop an effective and efficient hybrid solution for detecting phishing attempts. By leveraging the advantages of both machine learning and computer vision, this combined approach aims to enhance detection accuracy while reducing computational complexity.