An approach to implementing ESPRESSO’s decentralized private search on Dataswyft: feasibility and high-level design

This article presents a high-level design of an approach to privacy-preserving search in the Dataswyft decentralized data cooperative, where data is subject to differential access control. The ESPRESSO experimental search framework is the first approach to query processing in decentralized, federated or Linked Data systems that takes differential access control into account. The ESPRESSO approach has already demonstrated its efficacy for search in Solid, an open-source protocol for decentralized private data cooperatives. Dataswyft is a proprietary platform with an approach to data governance that is diametrically opposed to that of Solid. In this article, we describe how the differences in these approaches to data governance have impacted design decisions at the earliest stages of prototyping. The high-level design which we present in this article, and which we will implement over the coming months, will advance the ESPRESSO approach towards greater interoperability.

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Publication Details

Journal
IET conference proceedings.
Published
2025-10-01
DOI
https://doi.org/10.1049/icp.2025.2973
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
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article

An approach to implementing ESPRESSO’s decentralized private search on Dataswyft: feasibility and high-level design

George Roussos, Adriane Chapman, Alexandra Poulovassilis, Thanassis Tiropanis et al.
IET conference proceedings.
Privacy-Preserving Technologies in Data
article

An approach to implementing ESPRESSO’s decentralized private search on Dataswyft: feasibility and high-level design

George Roussos, Adriane Chapman, Alexandra Poulovassilis, Thanassis Tiropanis, Mohamed Ragab, Helen Oliver, Mohammad Bahrani
article en

Abstract

This article presents a high-level design of an approach to privacy-preserving search in the Dataswyft decentralized data cooperative, where data is subject to differential access control. The ESPRESSO experimental search framework is the first approach to query processing in decentralized, federated or Linked Data systems that takes differential access control into account. The ESPRESSO approach has already demonstrated its efficacy for search in Solid, an open-source protocol for decentralized private data cooperatives. Dataswyft is a proprietary platform with an approach to data governance that is diametrically opposed to that of Solid. In this article, we describe how the differences in these approaches to data governance have impacted design decisions at the earliest stages of prototyping. The high-level design which we present in this article, and which we will implement over the coming months, will advance the ESPRESSO approach towards greater interoperability.

IET conference proceedings.Vol. 2025(22)
Birmingham City University (GB), University of Southampton (GB), Birkbeck, University of London (GB)
Openalex Percentile: Top 86%
Privacy-Preserving Technologies in Data
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An approach to implementing ESPRESSO’s decentralized private search on Dataswyft: feasibility and high-level design — George Roussos, Adriane Chapman, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS