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Anti-phishing tools: state of the art and detection efficiencies

Alghenaim, M. F. and Abu Bakar, Nur Azaliah and Abdul Rahim, F. (2022) Anti-phishing tools: state of the art and detection efficiencies. Applied Mathematics & Information Sciences, 16 (6). pp. 929-934. ISSN 1935-0090

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Official URL: http://dx.doi.org/10.18576/amis/160609

Abstract

A phishing attack is a process of obtaining a customer's private data, whether by using phishing emails or fake websites. With every new development on the Internet, the attackers' means of phishing attacks develop, requiring more powerful phishing tools to counter these attacks. The Internet has become an essential part of the personal and social life of the public and governments, institutions, and companies all over the world. This means that Internet users need tools to protect against phishing attack types and web risks, which may cause personal, institutional, financial, and informational damage. Hence, this study reviews anti-phishing attack tools and shows their accuracy in addressing the current challenges of phishing attacks.

Item Type:Article
Uncontrolled Keywords:advanced phishing tools, anti-phishing; cyberattack, internet security, machine learning, phishing attacks
Subjects:T Technology > T Technology (General) > T55-55.3 Industrial Safety. Industrial Accident Prevention
T Technology > T Technology (General) > T58.5-58.64 Information technology
Divisions:Razak School of Engineering and Advanced Technology
ID Code:98613
Deposited By: Yanti Mohd Shah
Deposited On:25 Jan 2023 09:36
Last Modified:25 Jan 2023 09:36

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