CBGRU: A Detection Method of Smart Contract Vulnerability Based on a Hybrid Model

In the context of the rapid development of blockchain technology, smart contracts have also been widely used in the Internet of Things, finance, healthcare, and other fields. There has been an explosion in the number of smart contracts, and at the same time, the security of smart contracts has recei...

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Bibliographic Details
Main Authors:	Cai, Z. (Author), Chen, H. (Author), Chen, W. (Author), Jin, Z. (Author), Wang, W. (Author), Zhang, L. (Author), Zhao, C. (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	Analysis tools Block-chain Detection methods Detection performance Financial loss hybrid model Hybrid model Learning models Long short-term memory Losses security Security Security vulnerabilities smart contract Smart contract vulnerability detection Vulnerability detection
Online Access:	View Fulltext in Publisher

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View Fulltext in Publisher

CBGRU: A Detection Method of Smart Contract Vulnerability Based on a Hybrid Model

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