Print Email Facebook Twitter A privacy risk assessment model for open data Title A privacy risk assessment model for open data Author Ali-Eldin, Amr (Universiteit Leiden; Mansoura University) Zuiderwijk-van Eijk, A.M.G. (TU Delft Information and Communication Technology) Janssen, M.F.W.H.A. (TU Delft Information and Communication Technology) Contributor Shishkov, Boris (editor) Date 2018 Abstract While the sharing of information has turned into a typical practice for governments and organizations, numerous datasets are as yet not openly published since they may violate users’ privacy. The hazard on data protection infringement is a factor that regularly hinders the distribution of information and results in a push back from governments and organizations. Moreover, even published information, which may appear safe, can disregard client security because of the uncovering of users’ personalities. This paper proposes a privacy risk assessment model for open data structures to break down and diminish the dangers related with the opening of data. The key components are privacy attributes of open data reflecting privacy risks versus benefits exchanges-off related with the utilization situations of the information to be open. Further, these attributes are assessed using a decision engine into a privacy risk indicator value and a privacy risk mitigation measure. Privacy risk indicator expresses the anticipated estimation of data protection dangers related with opening such information and privacy risk mitigation measure expresses the estimations that should be connected on the information to evade the expected security risks. The model is exemplified through five genuine scenarios concerning open datasets. Subject Data miningOpen dataPersonally identifiable information (PII)Privacy risksScoring systems To reference this document use: http://resolver.tudelft.nl/uuid:b411d063-7046-49bf-a580-71cd31202412 DOI https://doi.org/10.1007/978-3-319-78428-1_10 Publisher Springer Embargo date 2018-09-20 ISBN 9783319784274 Source Business Modeling and Software Design - 7th International Symposium, BMSD 2017, Revised Selected Papers, 309 Event 7th International Symposium on Business Modeling and Software Design, BMSD 2017, 2017-05-03 → 2017-05-05, Barcelona, Spain Series Lecture Notes in Business Information Processing, 18651348, 309 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2018 Amr Ali-Eldin, A.M.G. Zuiderwijk-van Eijk, M.F.W.H.A. Janssen Files PDF Ali_Eldin2018_Chapter_APr ... delFor.pdf 895.46 KB Close viewer /islandora/object/uuid:b411d063-7046-49bf-a580-71cd31202412/datastream/OBJ/view