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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 10, ISSUE 6, JUNE 2021

PHISHING ATTACK DETECTION USING DEEP NEURAL NETWORK

Sandhya G.V, Dr. Harish Kumar B T

DOI: 10.17148/IJARCCE.2021.106133

Abstract: The term phishing reminds us of the malpractice that targets the end-user, making him or her a victim unknowingly. The term phishing came into the limelight in the year 1987. It is a fraudulent practice where in the attacker traps the victim to navigate to an illegal website that resembles the legitimate website. The victim’s most sensitive information related to their login data and the card details is tampered with. Hence, phishing is the best illustration for social engineering attack to trap the end-users. Hackers use the internet as a medium to deceive people.

Keywords: DNN, Phishing attack and LSTM

How to Cite:

[1] Sandhya G.V, Dr. Harish Kumar B T, “PHISHING ATTACK DETECTION USING DEEP NEURAL NETWORK,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.106133