首页    期刊浏览 2025年12月19日 星期五
登录注册

文章基本信息

  • 标题:Incorporating privacy by design in body sensor networks for medical applications: A privacy and data protection framework
  • 本地全文:下载
  • 作者:Kalloniatis, Christos ; Lambrinoudakis, Costas ; Musahl, Mathias
  • 期刊名称:Computer Science and Information Systems
  • 印刷版ISSN:1820-0214
  • 电子版ISSN:2406-1018
  • 出版年度:2021
  • 卷号:18
  • 期号:1
  • 页码:323-347
  • DOI:10.2298/CSIS200922057K
  • 出版社:ComSIS Consortium
  • 摘要:Privacy and Data protection are highly complex issues within eHealth/M-Health systems. These systems should meet specific requirements deriving from the organizations and users, as well as from the variety of legal obligations deriving from GDPR that dictate protection rights of data subjects and responsibilities of data controllers. To address that, this paper proposes a Privacy and Data Protection Framework that provides the appropriate steps so as the proper technical, organizational and procedural measures to be undertaken. The framework, beyond previous literature, supports the combination of privacy by design principles with the newly introduced GDPR requirements in order to create a strong elicitation process for deriving the set of the technical security and privacy requirements that should be addressed. It also proposes a process for validating that the elicited requirements are indeed fulfilling the objectives addressed during the Data Protection Impact Assessment (DPIA), carried out according to the GDPR.
  • 关键词:privacy protection; data protection; GDPR; Framework
国家哲学社会科学文献中心版权所有