Phishing Attack Identification Using Ai: Machine Learning And Computer Vision Approaches

Author(s)	Mr. Raxit Shinde
Country	India
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.
Keywords	Machine Learning, Computer Vision, Phishing attack
Field	Engineering
Published In	Volume 5, Issue 8, August 2024
Published On	2024-08-16
Cite This	Phishing Attack Identification Using Ai: Machine Learning And Computer Vision Approaches - Mr. Raxit Shinde - IJLRP Volume 5, Issue 8, August 2024.

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