Scientific workflows are today a vital tool for computational science, enabling the definition and execution of complex applications in heterogeneous and often distributed environments. A key characteristic of scientific workflow applications is that they often require the massive processing of an enormous amount of data that, in many cases, convey personal information. To allow an efficient and transparent privacy compliance check process, in this paper, we propose a blockchain-based solution coupled with an ad-hoc index structure that makes it possible an efficient compliance check for a massive amount of data.

A Blockchain-based Framework in Support of Privacy Preferences Enforcement for Scientific Workflows

Daidone, F;Carminati, B;Ferrari, E
2022-01-01

Abstract

Scientific workflows are today a vital tool for computational science, enabling the definition and execution of complex applications in heterogeneous and often distributed environments. A key characteristic of scientific workflow applications is that they often require the massive processing of an enormous amount of data that, in many cases, convey personal information. To allow an efficient and transparent privacy compliance check process, in this paper, we propose a blockchain-based solution coupled with an ad-hoc index structure that makes it possible an efficient compliance check for a massive amount of data.
2022
AA.VV.
Proceedings - IEEE International Conference on Web Services, ICWS 2022
9781665481434
IEEE International Conference on Web Services, ICWS 2022
Barcelona
11 July 2022 through 15 July 2022
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2146794
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