An End-to-End Approach for the Detection of Phishing Attacks

Badis Hammi; Tristan Bilot; Danyil Bazain; Nicolas Binand; Maxime Jaen; Chems Mitta; Nour EL Madhoun

doi:10.1007/978-3-031-57916-5_27

An End-to-End Approach for the Detection of Phishing Attacks

Badis Hammi
, Tristan Bilot
, Danyil Bazain
, Nicolas Binand
, Maxime Jaen
, Chems Mitta
, Nour EL Madhoun

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

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.

Original language	English
Title of host publication	Lecture Notes on Data Engineering and Communications Technologies
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	314-325
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-031-57916-5_27
Publication status	Published - 1 Jan 2024

Publication series

Name	Lecture Notes on Data Engineering and Communications Technologies
Volume	202
ISSN (Print)	2367-4512
ISSN (Electronic)	2367-4520

Access to Document

10.1007/978-3-031-57916-5_27

Cite this

Hammi, B., Bilot, T., Bazain, D., Binand, N., Jaen, M., Mitta, C., & EL Madhoun, N. (2024). An End-to-End Approach for the Detection of Phishing Attacks. In Lecture Notes on Data Engineering and Communications Technologies (pp. 314-325). (Lecture Notes on Data Engineering and Communications Technologies; Vol. 202). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-57916-5_27

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Hammi, B, Bilot, T, Bazain, D, Binand, N, Jaen, M, Mitta, C & EL Madhoun, N 2024, An End-to-End Approach for the Detection of Phishing Attacks. in Lecture Notes on Data Engineering and Communications Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol. 202, Springer Science and Business Media Deutschland GmbH, pp. 314-325. https://doi.org/10.1007/978-3-031-57916-5_27

An End-to-End Approach for the Detection of Phishing Attacks. / Hammi, Badis; Bilot, Tristan; Bazain, Danyil et al.
Lecture Notes on Data Engineering and Communications Technologies. Springer Science and Business Media Deutschland GmbH, 2024. p. 314-325 (Lecture Notes on Data Engineering and Communications Technologies; Vol. 202).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Mitta, Chems

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AB - 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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Hammi B, Bilot T, Bazain D, Binand N, Jaen M, Mitta C et al. An End-to-End Approach for the Detection of Phishing Attacks. In Lecture Notes on Data Engineering and Communications Technologies. Springer Science and Business Media Deutschland GmbH. 2024. p. 314-325. (Lecture Notes on Data Engineering and Communications Technologies). doi: 10.1007/978-3-031-57916-5_27

An End-to-End Approach for the Detection of Phishing Attacks

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