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The privacy-preserving data aggregation is a critical problem for manyapplications where multiple parties need to collaborate with each otherprivately to arrive at certain results. Blockchain, as a database shared acrossthe network, provides an underlying platform on which such aggregations can becarried out with a decentralized manner. Therefore, in this paper, we haveproposed a scalable privacy-preserving data aggregation protocol for summationon the Ethereum blockchain by integrating several cryptographic primitivesincluding commitment scheme, asymmetric encryption and zero-knowledge proofalong with the hypercube network topology. The protocol consists of four stagesas contract deployment, user registration, private submission and proofverification. The analysis of the protocol is made with respect to two mainperspectives as security and scalability including computational,communicational and storage overheads. In the paper, the zero-knowledge proof,smart contract and web user interface models for the protocol are provided. Wehave performed an experimental study in order to identify the required gascosts per individual and per system. The general formulation is provided tocharacterize the changes in gas costs for the increasing number of users. Thezero-knowledge proof generation and verification times are also measured.

Trustless Privacy-Preserving Data Aggregation on Ethereum with Hypercube Network Topology