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Communication Dans Un Congrès Année : 2024

An end-to-end approach for the detection of phishing attacks

Résumé

The main approaches/implementations used to counteract phishing attacks involve the use of crowd-sourced blacklists. However, blacklists come with several drawbacks. In this paper, we present a comprehensive approach for the detection of phishing attacks. Our approach uses our own detection engine which relies on Graph Neural Networks to leverage the hyperlink structure of the websites to analyze. Additionally, we offer a turnkey implementation to the end-users in the form of a Mozilla Firefox plugin.
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Dates et versions

hal-04580467 , version 1 (20-05-2024)

Identifiants

Citer

Badis Hammi, Tristan Billot, Danyil Bazain, Nicolas Binand, Maxime Jaen, et al.. An end-to-end approach for the detection of phishing attacks. Advanced Information Networking and Applications (AINA), Apr 2024, Kitakyushu, Japan. pp.314-325, ⟨10.1007/978-3-031-57916-5_27⟩. ⟨hal-04580467⟩
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