Welcome to the resource topic for 2024/1775
Title:
zkMarket : Privacy-preserving Digital Data Trade System via Blockchain
Authors: Seungwoo Kim, Semin Han, Seongho Park, Kyeongtae Lee, Jihye Kim, Hyunok Oh
Abstract:In this paper, we introduce zkMarket, a privacy-preserving fair trade system on the blockchain. zkMarket addresses the challenges of transaction privacy and computational efficiency. To ensure transaction privacy, zkMarket is built upon an anonymous transfer protocol. By combining encryption with zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARK), both the seller and the buyer are enabled to trade fairly. Furthermore, by encrypting the decryption key, we make the data registration process more concise and improve the seller’s proving time by leveraging commit-and-prove SNARK (CP-SNARK) and our novel pseudorandom generator, the matrix-formed PRG (MatPRG).
Our evaluation demonstrates that zkMarket significantly reduces the computational overhead associated with traditional blockchain solutions while maintaining robust security and privacy. The seller can register 1MB of data in 3.2 seconds, while the buyer can generate the trade transaction in 0.2 seconds, and the seller can finalize the trade in 0.4 seconds.
ePrint: https://eprint.iacr.org/2024/1775
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