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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 7, JULY 2022

Detecting Phishing Attacks Using Hybrid Learning

Shreetej Sharma1, Darshan M, Prof. Usha C.R

DOI: 10.17148/IJARCCE.2022.11708

Abstract: Phishing is a type of cyber-attack in which attackers open deceptive websites that look similar to renowned and legitimate websites in order to steal the user's sensitive information. Numerous ordinary human life activities, including electronic banking, social networks, ecommerce, and so on, have been transferred to cyberspace as a result of the fast growth of communication technologies and worldwide networking. The internet's anonymous, accessible, and unmanaged architecture provides an ideal platform for cyber-attacks. The world has seen an increase in the number of Phishing attacks in the past years. It poses a serious threat to the privacy of individuals and can be used to cause financial theft, and identity theft, and can also cause disruption of an organization. It is of prime importance to detect such attacks and eliminate the risk of being a victim of a phishing attack.

Keywords: AWPG, Hybrid Learning, Link Guard Algorithm, Phishing attack, Website

How to Cite:

[1] Shreetej Sharma1, Darshan M, Prof. Usha C.R, “Detecting Phishing Attacks Using Hybrid Learning,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11708