Trustless Exchange for Personal Data: Adapting Intellectual Property Trading Security Protocols for Data Sovereignty
Computer Science and Information Systems, Tome 23 (2026) no. 1

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This paper presents an approach for adapting blockchain-based security protocols originally designed for intellectual property trading to support data sovereignty through secure exchange in personal data stores. As personal data becomes increasingly valuable in the digital economy, individuals need mechanisms to control and potentially monetise their information while ensuring its proper use. We examine how our existing multi-stage verification protocol can be applied to address the requirements of personal data exchange. The protocol uses symmetric and asymmetric encryption, smart contracts, and blockchain verification to create secure trading mechanisms. The proposed adaptation maintains the trustless verification and secure transfer mechanisms of the original protocol, creating a "metatrust" layer, a higher level of confidence that extends beyond the foundational trust offered by blockchain technology alone. Through this conceptual adaptation, we explore a complementary framework that could enhance existing Personal Data Store (PDS) architectures. This framework enables individuals to selectively share their personal data with cryptographic guarantees about access and use, contributing to the advancement of data sovereignty in digital ecosystems.
Keywords: Data Sovereignty, Personal Data Stores, Blockchain technology, Smart contracts
Vijon Baraku; Simeon Veloudis; Iraklis Paraskakis; Poonam Yadav; Rezon Baraku. Trustless Exchange for Personal Data: Adapting Intellectual Property Trading Security Protocols for Data Sovereignty. Computer Science and Information Systems, Tome 23 (2026) no. 1. http://geodesic.mathdoc.fr/item/CSIS_2026_23_1_a27/
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     title = {Trustless {Exchange} for {Personal} {Data:} {Adapting} {Intellectual} {Property} {Trading} {Security} {Protocols} for {Data} {Sovereignty}},
     journal = {Computer Science and Information Systems},
     year = {2026},
     volume = {23},
     number = {1},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2026_23_1_a27/}
}
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