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  • 标题:A model driven approach to data privacy verification in E-Health systems
  • 本地全文:下载
  • 作者:Flora Amato ; Francesco Moscato
  • 期刊名称:Transactions on Data Privacy
  • 印刷版ISSN:1888-5063
  • 电子版ISSN:2013-1631
  • 出版年度:2015
  • 卷号:8
  • 期号:3
  • 页码:273-296
  • 出版社:IIIA-CSIC
  • 摘要:Last years experienced the growth of new technologies able to remotely monitor health state of persons. This includes both (even complex) Medical devices and all kind of wearable device. In addition, with the increasing use of Cloud technologies to manage and store sensitive data from patients, the problem of assuring data privacy is more and more important in E-Health systems. Privacy requirements in Medical domains are not only defined by service providers or users, but Legal rules regulate the whole management and storage processes of health records. The use of Model Driven techniques for E-Health systems is appealing especially if formal verification of privacy requirements is enacted. In this paper we extend the MetaMORP(h)OSY modelling profile in order to explicitly consider privacy requirements for data. A novel model transformation algorithm is described for the application of Model Checking techniques to privacy verification
  • 关键词:E-Health; Privacy; Model Driven Engineering; Formal Verification
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