Privacy-enhancing distributed protocol for data aggregation based on blockchain and homomorphic encryption

【Author】 Regueiro, Cristina; Seco, Inaki; de Diego, Santiago; Lage, Oscar; Etxebarria, Leire

【Source】INFORMATION PROCESSING & MANAGEMENT

【影响因子】7.466

【Abstract】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.

【Keywords】Homomorphic encryption; Blockchain; Privacy; Confidentiality; Security; Data aggregation

【发表时间】2021 NOV

【收录时间】2022-01-01

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