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Blockchains have recently been under the spotlight due to the boom ofcryptocurrencies and decentralized applications. There is an increasing demandfor querying the data stored in a blockchain database. To ensure queryintegrity, the user can maintain the entire blockchain database and query thedata locally. However, this approach is not economic, if not infeasible,because of the blockchain's huge data size and considerable maintenance costs.In this paper, we take the first step toward investigating the problem ofverifiable query processing over blockchain databases. We propose a novelframework, called vChain, that alleviates the storage and computing costs ofthe user and employs verifiable queries to guarantee the results' integrity. Tosupport verifiable Boolean range queries, we propose an accumulator-basedauthenticated data structure that enables dynamic aggregation over arbitraryquery attributes. Two new indexes are further developed to aggregateintra-block and inter-block data records for efficient query verification. Wealso propose an inverted prefix tree structure to accelerate the processing ofa large number of subscription queries simultaneously. Security analysis andempirical study validate the robustness and practicality of the proposedtechniques.

vChain: Enabling Verifiable Boolean Range Queries over Blockchain Databases