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    ARTICLE

    A Data Consistency Insurance Method for Smart Contract

    Jing Deng1, Xiaofei Xing1, Guoqiang Deng2,*, Ning Hu3, Shen Su3, Le Wang3, Md Zakirul Alam Bhuiyan4

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3783-3795, 2023, DOI:10.32604/cmc.2023.034116

    Abstract As one of the major threats to the current DeFi (Decentralized Finance) ecosystem, reentrant attack induces data inconsistency of the victim smart contract, enabling attackers to steal on-chain assets from DeFi projects, which could terribly do harm to the confidence of the blockchain investors. However, protecting DeFi projects from the reentrant attack is very difficult, since generating a call loop within the highly automatic DeFi ecosystem could be very practicable. Existing researchers mainly focus on the detection of the reentrant vulnerabilities in the code testing, and no method could promise the non-existent of reentrant vulnerabilities. In this paper, we introduce… More >

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