Phishing Detection Using URL-based XAI Techniques

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dc.contributor.authorHernandes, Paulo R. Galego
dc.contributor.authorFloret, Camila P. [UNESP]
dc.contributor.authorDe Almeida, Katia F. Cardozo [UNESP]
dc.contributor.authorDa Silva, Vinicius Camargo [UNESP]
dc.contributor.authorPapa, Joso Paulo [UNESP]
dc.contributor.authorDa Costa, Kelton A. Pontara [UNESP]
dc.contributor.institutionFatec Ourinhos
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-29T08:46:40Z
dc.date.available2022-04-29T08:46:40Z
dc.date.issued2021-01-01
dc.description.abstractThe Internet has been growing exponentially and expanding facilities, such as payments and online purchases. Likewise, the number of criminals using electronic devices to commit theft or hijacking of information has increased. Many scams still require interaction with the victim, who in many cases is persuaded to access a malicious link sent by email, which is classified as phishing. This technique is one of the biggest threats for users and one of the most efficient for criminals. Several studies show different sorts of protection using Artificial Intelligence, which despite being very efficient, do not describe the reasons for categorizing them or using a URL as phishing. This paper focuses on detecting phishing using explainable techniques, i.e., Local Interpretable Model-Agnostic Explanations and Explainable Boosting Machine, to lighten up new advances and future works in the area.en
dc.description.affiliationFatec Ourinhos Department of Information Security
dc.description.affiliationSão Paulo State University Department of Computing
dc.description.affiliationUnespSão Paulo State University Department of Computing
dc.identifierhttp://dx.doi.org/10.1109/SSCI50451.2021.9659981
dc.identifier.citation2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings.
dc.identifier.doi10.1109/SSCI50451.2021.9659981
dc.identifier.scopus2-s2.0-85125777751
dc.identifier.urihttp://hdl.handle.net/11449/231630
dc.language.isoeng
dc.relation.ispartof2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings
dc.sourceScopus
dc.subjectArtificial intelligence
dc.subjectExplainable
dc.subjectMachine learning
dc.subjectPhishing
dc.subjectXAI
dc.titlePhishing Detection Using URL-based XAI Techniquesen
dc.typeTrabalho apresentado em evento
unesp.departmentGeografia - FCTEpt

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Ourinhos - FCTE - Faculdade de Ciências, Tecnologia e Educação