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Prevention and mitigation measures against phishing emails: a sequential schema model

Phishing emails have permeated our digital communication, taking advantage of vulnerabilities that the information technology system poses to users. Given the potential for further cybersecurity incidents, theft of personally identifiable information, and damage to organizations’ assets, cybersecuri...

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Detalles Bibliográficos
Autores principales: Suzuki, Yumi E., Monroy, Sergio A. Salinas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Palgrave Macmillan UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8478002/
http://dx.doi.org/10.1057/s41284-021-00318-x
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author Suzuki, Yumi E.
Monroy, Sergio A. Salinas
author_facet Suzuki, Yumi E.
Monroy, Sergio A. Salinas
author_sort Suzuki, Yumi E.
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description Phishing emails have permeated our digital communication, taking advantage of vulnerabilities that the information technology system poses to users. Given the potential for further cybersecurity incidents, theft of personally identifiable information, and damage to organizations’ assets, cybersecurity professionals have implemented various mitigation practices to combat phishing emails. This paper categorizes current mitigation practices in relation to a sequential schema adopted from the situational crime prevention approach, so as to enable a more organized and strategic assessment of human and environmental vulnerabilities. Our model could be useful for cybersecurity professionals to further advance mitigation measures as an incident progresses and for criminologists and other academic researchers to reduce the severity of subsequent criminal incidents.
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spelling pubmed-84780022021-09-28 Prevention and mitigation measures against phishing emails: a sequential schema model Suzuki, Yumi E. Monroy, Sergio A. Salinas Secur J Original Article Phishing emails have permeated our digital communication, taking advantage of vulnerabilities that the information technology system poses to users. Given the potential for further cybersecurity incidents, theft of personally identifiable information, and damage to organizations’ assets, cybersecurity professionals have implemented various mitigation practices to combat phishing emails. This paper categorizes current mitigation practices in relation to a sequential schema adopted from the situational crime prevention approach, so as to enable a more organized and strategic assessment of human and environmental vulnerabilities. Our model could be useful for cybersecurity professionals to further advance mitigation measures as an incident progresses and for criminologists and other academic researchers to reduce the severity of subsequent criminal incidents. Palgrave Macmillan UK 2021-09-28 2022 /pmc/articles/PMC8478002/ http://dx.doi.org/10.1057/s41284-021-00318-x Text en © The Author(s), under exclusive licence to Springer Nature Limited 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Suzuki, Yumi E.
Monroy, Sergio A. Salinas
Prevention and mitigation measures against phishing emails: a sequential schema model
title Prevention and mitigation measures against phishing emails: a sequential schema model
title_full Prevention and mitigation measures against phishing emails: a sequential schema model
title_fullStr Prevention and mitigation measures against phishing emails: a sequential schema model
title_full_unstemmed Prevention and mitigation measures against phishing emails: a sequential schema model
title_short Prevention and mitigation measures against phishing emails: a sequential schema model
title_sort prevention and mitigation measures against phishing emails: a sequential schema model
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8478002/
http://dx.doi.org/10.1057/s41284-021-00318-x
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