Finding a good balance between the availability of data for analysis and the control that individuals should exercise over their own data is a key requirement for generating innovation and growth in our data-driven society. A promising direction is the development of data market platforms where individuals can directly provide their own data and monetize them by making them selectively available to data consumers. Data market platforms are often based on the cloud paradigm and can be managed by parties that may be not fully trusted, or even be malicious, thus introducing new data security and privacy issues. In this article, we discuss the issues and challenges toward empowering individuals to use a data market platform for trading their data while keeping control over them. We also discuss how existing techniques can be possibly adapted to address these issues and highlight aspects that still need to be investigated.

Toward Owners' Control in Digital Data Markets / S. De Capitani di Vimercati, S. Foresti, G. Livraga, P. Samarati. - In: IEEE SYSTEMS JOURNAL. - ISSN 1932-8184. - 15:1(2021 Mar), pp. 1299-1306. [10.1109/JSYST.2020.2970456]

Toward Owners' Control in Digital Data Markets

S. De Capitani di Vimercati
Primo
;
S. Foresti
Secondo
;
G. Livraga
Penultimo
;
P. Samarati
Ultimo
2021

Abstract

Finding a good balance between the availability of data for analysis and the control that individuals should exercise over their own data is a key requirement for generating innovation and growth in our data-driven society. A promising direction is the development of data market platforms where individuals can directly provide their own data and monetize them by making them selectively available to data consumers. Data market platforms are often based on the cloud paradigm and can be managed by parties that may be not fully trusted, or even be malicious, thus introducing new data security and privacy issues. In this article, we discuss the issues and challenges toward empowering individuals to use a data market platform for trading their data while keeping control over them. We also discuss how existing techniques can be possibly adapted to address these issues and highlight aspects that still need to be investigated.
Data market; data protection; owner control; privacy, security; technological innovation; data protection; economic indicators; memory;
Settore INF/01 - Informatica
   Multi-Owner data Sharing for Analytics and Integration respecting Confidentiality and Owner control (MOSAICrOWN)
   MOSAICrOWN
   EUROPEAN COMMISSION
   H2020
   825333

   High quality Open data Publishing and Enrichment (HOPE)
   HOPE
   MINISTERO DELL'ISTRUZIONE E DEL MERITO
   2017MMJJRE_003
mar-2021
feb-2020
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/714803
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