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Jiang Renkai, Song Shuwei, Luo Xiapu, Chen Ting, Luo Ruijie, Wang Bingsen, Qiao Ao. DEALS——Track Token Transfer Information Inconsistency[J]. Journal of Computer Research and Development, 2024, 61(2): 274-288. DOI: 10.7544/issn1000-1239.202330613
Citation: Jiang Renkai, Song Shuwei, Luo Xiapu, Chen Ting, Luo Ruijie, Wang Bingsen, Qiao Ao. DEALS——Track Token Transfer Information Inconsistency[J]. Journal of Computer Research and Development, 2024, 61(2): 274-288. DOI: 10.7544/issn1000-1239.202330613

DEALS——Track Token Transfer Information Inconsistency

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  • Author Bio:

    Jiang Renkai: born in 1999. Master candidate. His main research interest includes blockchain security

    Song Shuwei: born in 1999. PhD candidate. His main research interest includes blockchain security

    Luo Xiapu: born in 1977. PhD, professor. His main research interest includes blockchain security

    Chen Ting: born in 1987. PhD, professor. His research interests include blockchain, smart contract, and software security

    Luo Ruijie: born in 1998. Master. His main research interest includes blockchain security

    Wang Bingsen: born in 1998. Master. His main research interest includes blockchain security

    Qiao Ao: born in 1999. Master candidate. His main research interest includes blockchain security

  • Received Date: July 25, 2023
  • Revised Date: September 20, 2023
  • Available Online: October 08, 2023
  • Blockchain enables traditional exchanges and lending houses to be extended to Depl (decentralized platforms), which allows anyone to access exchange and lending without the help of intermediaries. Most Depls are implemented as smart contracts running on Ethereum and interact with another smart contract, cryptocurrency (i.e. token), to achieve various functions. Although Depl involves more than 35 billion worth of tokens, little is known about whether the actual transfer of tokens is as consistent as Depl expects. The inconsistency between the actual transfer of tokens and what the decentralized platform expects is known as behavioral inconsistency, resulting in property damage and user confusion. In this work, we take the first step to investigate such inconsistency between Depl and tokens. We propose to automatically detect inconsistency by comparing the actual token transfer behavior with the behavior indicated by the internal records of Depl by monitoring the core data structure changes of Depl and token.The experimental results show that inconsistent behavior exists in 1012749 transactions with an accuracy of 98.0%, which involves 2871 pairs of Depl and tokens, and is related to 110 Depl and 2544 tokens.In addition, 10 main reasons behind the inconsistency are summarized, e.g., cheater Depl, inconsistent scale, unclear coin lock rules, etc.

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