Privacy-enhancing distributed protocol for data aggregation based on blockchain and homomorphic encryption
| Autor: | Leire Etxebarria, Cristina Regueiro, Iñaki Seco, Santiago de Diego, Oscar Lage |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Blockchain
Smart contract Computer science 0102 computer and information sciences 02 engineering and technology Library and Information Sciences Management Science and Operations Research Encryption Computer security computer.software_genre 01 natural sciences 020204 information systems 0202 electrical engineering electronic engineering information engineering Media Technology Confidentiality Protocol (object-oriented programming) business.industry Homomorphic encryption Data aggregation Computer Science Applications Data aggregator Transmission (telecommunications) Privacy 010201 computation theory & mathematics Security business computer Information Systems |
| Zdroj: | TECNALIA Publications Fundación Tecnalia Research & Innovation |
| ISSN: | 0306-4573 |
| DOI: | 10.1016/j.ipm.2021.102745 |
| Popis: | The recent increase in reported incidents of security breaches compromising users' privacy call into question the current centralized model in which third-parties collect and control massive amounts of personal data. Blockchain has demonstrated that trusted and auditable computing is possible using a decentralized network of peers accompanied by a public ledger. Furthermore, Homomorphic Encryption (HE) guarantees confidentiality not only on the computation but also on the transmission, and storage processes. The synergy between Blockchain and HE is rapidly increasing in the computing environment. This research proposes a privacy-enhancing distributed and secure protocol for data aggregation backboned by Blockchain and HE technologies. Blockchain acts as a distributed ledger which facilitates efficient data aggregation through a Smart Contract. On the top, HE will be used for data encryption allowing private aggregation operations. The theoretical description, potential applications, a suggested implementation and a performance analysis are presented to validate the proposed solution. This work has been partially supported by the Basque Country Government under the ELKARTEK program, project TRUSTIND (KK- 2020/00054). It has also been partially supported by the H2020 TERMINET project (GA 957406). |
| Databáze: | OpenAIRE |
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