Phishing Recognition Software based on Machine Learning

The main goal of our research is to enhance online security by accurately identifying potential phishing threats, thereby mitigating risks to users and organizations. To this end we developed and optimized a software tool to detect phishing websites in real time using advanced machine learning techniques. The software features a user-friendly interface that allows easy access to phishing detection functionality, making cybersecurity more accessible to all levels of users.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/iccis63642.2024.10779406
Primary Topic
Ideological and Political Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Phishing Recognition Software based on Machine Learning

Gabriela Mogos, Zheng Gao
Ideological and Political Education
article

Phishing Recognition Software based on Machine Learning

Gabriela Mogos, Zheng Gao
article en

Abstract

The main goal of our research is to enhance online security by accurately identifying potential phishing threats, thereby mitigating risks to users and organizations. To this end we developed and optimized a software tool to detect phishing websites in real time using advanced machine learning techniques. The software features a user-friendly interface that allows easy access to phishing detection functionality, making cybersecurity more accessible to all levels of users.

Xi’an Jiaotong-Liverpool University (CN)
Openalex Percentile: Top 68%
Ideological and Political Education
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Phishing Recognition Software based on Machine Learning — Gabriela Mogos, Zheng Gao · (2024) | TGRS Research Map | TGRS