Towards Querying in Decentralized Environments with Privacy-Preserving Aggregation

Taelman, Ruben and Steyskal, Simon and Kirrane, Sabrina ORCID: (2020) Towards Querying in Decentralized Environments with Privacy-Preserving Aggregation. In: Joint Proceedings of Workshops AI4LEGAL2020, NLIWOD, PROFILES 2020, QuWeDa 2020 and SEMIFORM2020 Colocated with the 19th International Semantic Web Conference (ISWC 2020). CEUR, Athens. pp. 135-148. ISBN 1613-0073

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The Web is a ubiquitous economic, educational, and collaborativespace, however, it also serves as a haven for personal information harvesting. Ex-isting decentralised Web-based ecosystems, such as Solid, aim to combat personaldata exploitation on the Web by enabling individuals to manage their data in thepersonal data store of their choice. Since personal data in these decentralisedecosystems are distributed across many sources, there is a need for techniques tosupport efficient privacy-preserving query execution over personal data stores.Towards this end, in this position paper we present a framework for efficient pri-vacy preserving federated querying, and highlight open research challenges andopportunities. The overarching goal being to provide a means to position futureresearch into privacy-preserving querying within decentralised environments.

Item Type: Book Section
Additional Information: Ruben Taelman is funded by the Research Foundation – Flanders and Sabrina Kirraneis supported by the Austrian Science Fund (FWF) and netIdee SCIENCE under grantV 759.
Divisions: Departments > Wirtschaftsinformatik u. Operations Mgmt > Wirtschaftsinformatik und Neue Medien
Version of the Document: Published
Depositing User: Gertraud Novotny
Date Deposited: 18 Dec 2020 12:44
Last Modified: 18 Dec 2020 12:44
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