Work

Real-time Phishing Detection System using Machine Learning

Year: 2024

Type: article

Abstract: This paper addresses the pressing need for a robust defense mechanism against phishing attacks by introducing an innovative and proactive solution. Our mission is to safeguard users from malicious phishing attempts through an automated system that activates seamlessly when users interact with hyperlinks. Unlike traditional methods, this application transcends platform boundaries, offering comprehensive protection across diverse mobile applications such as WhatsApp, Facebook Messenger, and Instagram. The system's independence from user initiation ensures an added layer of defense, mitigating the risk of falling victim to phishing attacks.

Source: International Journal For Multidisciplinary Research

DOI: 10.36948/ijfmr.2024.v06i04.25569

Authors: AGALYA S -, AKSHAYA R -, KEERTHANA DEVI S -, SUDHA K -

Language: English

Topic: Spam and Phishing Detection

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4401616980

FWCI:

Cites: 7

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Related to: 10