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dc.contributor.authorCazares, María Fernanda
dc.contributor.authorArévalo, Diana
dc.contributor.authorAndrade, Roberto O.
dc.contributor.authorFuertes, Walter
dc.contributor.authorSánchez Rubio, Manuel
dc.date2022
dc.date.accessioned2023-10-02T13:12:52Z
dc.date.available2023-10-02T13:12:52Z
dc.identifier.citationCazares, M.F., Arévalo, D., Andrade, R.O., Fuertes, W., Sánchez-Rubio, M. (2022). A Training Web Platform to Improve Cognitive Skills for Phishing Attacks Detection. In: Nagar, A.K., Jat, D.S., Marín-Raventós, G., Mishra, D.K. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 333. Springer, Singapore. https://doi.org/10.1007/978-981-16-6309-3_4es_ES
dc.identifier.isbn9789811663086
dc.identifier.issn2367-3370
dc.identifier.urihttps://reunir.unir.net/handle/123456789/15338
dc.description.abstractAttackers adapt their attacks to be more effective based on exploiting technical and human vulnerabilities. Social engineering attacks take advantage of human vulnerabilities considering that psychological factors could extend these vulnerabilities due to anxiety, stress, or high credibility. The development of technological solutions must be accompanied by training for people. However, training should not focus only on showing the technical details. In addition, it should consider strengthening the cognitive processes used in decision-making processes. This work aims to propose a methodology and architecture to develop a phishing training Web platform based on cognitive processes.es_ES
dc.language.isoenges_ES
dc.publisherLecture Notes in Networks and Systemses_ES
dc.relation.ispartofseries;vol. 333
dc.relation.urihttps://link.springer.com/chapter/10.1007/978-981-16-6309-3_4es_ES
dc.rightsrestrictedAccesses_ES
dc.subjectcognitive securityes_ES
dc.subjectcyberattackses_ES
dc.subjectdecision-makinges_ES
dc.subjectphishinges_ES
dc.subjectScopus(2)es_ES
dc.titleA Training Web Platform to Improve Cognitive Skills for Phishing Attacks Detectiones_ES
dc.typeconferenceObjectes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.1007/978-981-16-6309-3_4


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