Smart Contract Timestamp Vulnerability Detection Based on Code Homogeneity
Smart contracts, as a form of digital protocol, are computer programs designed for the automatic execution, control, and recording of contractual terms. They permit transactions to be conducted without the need for an intermediary. However, the economic property of smart contracts makes their vulner...
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Published in | IEICE Transactions on Information and Systems Vol. E107.D; no. 10; pp. 1362 - 1366 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Tokyo
The Institute of Electronics, Information and Communication Engineers
01.10.2024
Japan Science and Technology Agency |
Subjects | |
Online Access | Get full text |
ISSN | 0916-8532 1745-1361 |
DOI | 10.1587/transinf.2024EDL8004 |
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Summary: | Smart contracts, as a form of digital protocol, are computer programs designed for the automatic execution, control, and recording of contractual terms. They permit transactions to be conducted without the need for an intermediary. However, the economic property of smart contracts makes their vulnerabilities susceptible to hacking attacks, leading to significant losses. In this paper, we introduce a smart contract timestamp vulnerability detection technique HomoDec based on code homogeneity. The core idea of this technique involves comparing the homogeneity between the code of the test smart contract and the existing smart contract vulnerability codes in the database to determine whether the tested code has a timestamp vulnerability. Specifically, HomoDec first explores how to vectorize smart contracts reasonably and efficiently, representing smart contract code as a high-dimensional vector containing features of code vulnerabilities. Subsequently, it investigates methods to determine the homogeneity between the test codes and the ones in vulnerability code base, enabling the detection of potential timestamp vulnerabilities in smart contract code. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0916-8532 1745-1361 |
DOI: | 10.1587/transinf.2024EDL8004 |