A Conceptual Framework for Assessing Risks for Data Protection Impact Assessment Process in Maritime Industries

dc.contributor.authorYungratog S.
dc.contributor.authorGoerlandt F.
dc.contributor.authorPunurai W.
dc.contributor.authorThammaboosadee S.
dc.contributor.otherMahidol University
dc.date.accessioned2023-06-18T16:52:16Z
dc.date.available2023-06-18T16:52:16Z
dc.date.issued2022-01-01
dc.description.abstractPersonal data is used to define customer requirements. Organizations should securely collect and process such data, using data protection policies aligned with the applicable regulations. The General Data Protection Regulation (GDPR), an EU data protection law, has include a data protection assessment method called Data Protection Impact Assessment (DPIA) to ensure personal data security. The maritime industry is also concerned about personal data protection. However, there is a still a lack of practical methods to assess data protection risks. This article aims to introduce the conceptual framework for a new method for risk assessment in maritime systems, using DPIA and various systems-theoretic risk approaches as a conceptual basis. The ICT system is a central system in which personal data is utilized in the architecture of maritime systems. In this article, this system will be taken as a basis for illustrating the newly proposed method for personal data security risk assessment in a DPIA context. The conceptual framework will be further concretized and tested in follow-up research.
dc.identifier.citationIEEE International Conference on Industrial Engineering and Engineering Management Vol.2022-December (2022) , 1083-1087
dc.identifier.doi10.1109/IEEM55944.2022.9989595
dc.identifier.eissn2157362X
dc.identifier.issn21573611
dc.identifier.scopus2-s2.0-85146359174
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/83984
dc.rights.holderSCOPUS
dc.subjectBusiness, Management and Accounting
dc.titleA Conceptual Framework for Assessing Risks for Data Protection Impact Assessment Process in Maritime Industries
dc.typeConference Paper
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85146359174&origin=inward
oaire.citation.endPage1087
oaire.citation.startPage1083
oaire.citation.titleIEEE International Conference on Industrial Engineering and Engineering Management
oaire.citation.volume2022-December
oairecerif.author.affiliationDalhousie University
oairecerif.author.affiliationMahidol University

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