Talks and Poster Presentations (with Proceedings-Entry):
C. Lachner, T. Rausch, S. Dustdar:
"Context-Aware Enforcement of Privacy Policies in Edge Computing";
Talk: IEEE International Congress on Big Data (IEEE BigData Congress 2019) part of the 2019 IEEE World Congress on Services,
- 2019-07-13; in: "Proceedings of the IEEE International Congress on Big Data (IEEE BigData Congress 2019) part of the 2019 IEEE World Congress on Services",
E. Bertino, C. Chang, P. Chen, E. Damiani, M. Goul, K. Oyama (ed.);
Privacy is a fundamental concern that confronts systems dealing with sensitive data. The lack of robust solutions for defining and enforcing privacy measures continues to hinder the general acceptance and adoption of these systems. Edge computing has been recognized as a key enabler for privacy enhanced applications, and has opened new opportunities. In this paper, we propose a novel privacy model based on context-aware edge computing. Our model leverages the context of data to make decisions about how these data need to be processed and managed to achieve privacy. Based on a scenario from the eHealth domain, we show how our generalized model can be used to implement and enact complex domain-specific privacy policies. We illustrate our approach by constructing real world use cases involving a mobile Electronic Health Record that interacts with, and in different environments.
privacy; edge computing; e-health; context awareness;
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Created from the Publication Database of the Vienna University of Technology.