A study on chaincode security weakness detector in hyperledger fabric blockchain framework for it development
- Authors
- Kim, S.; Son, Y.; Lee, Y.
- Issue Date
- Oct-2020
- Publisher
- Alpha Publishers
- Keywords
- Cloud Computing; Control Flow Graph; Ecurity Weakness Analysis; Loop Unrolling; SMT(Satisfiability Modulo Theory) Solver; SVM(Smart Virtual Machine)
- Citation
- Journal of Green Engineering, v.10, no.10, pp 7820 - 7844
- Pages
- 25
- Indexed
- SCOPUS
- Journal Title
- Journal of Green Engineering
- Volume
- 10
- Number
- 10
- Start Page
- 7820
- End Page
- 7844
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/7118
- ISSN
- 1904-4720
2245-4586
- Abstract
- The hyperledger fabric is a modular blockchain framework used by private companies to develop blockchain-based products, solutions, and applications using plug-and-play components. Smart contracts running in this framework are created by implementing chaincode for IT Development. When implementing the chaincode, there may be a security weakness that is the root cause of the security vulnerability in the code. If the chaincode with the security weakness is completed and a block is created, the chaincode with the inherent security weakness creates a security threat because the contract cannot be modified arbitrarily.The hyperledger fabric is a modular blockchain framework used by private companies to develop blockchain-based products, solutions, and applications using plug-and-play components. Smart contracts running in this framework are created by implementing chaincode. When implementing the chaincode, there may be a security weakness that is the root cause of the security vulnerability in the code. If the chaincode with the security weakness is completed and a block is created, the chaincode with the inherent security weakness creates a security threat because the contract cannot be modified arbitrarily. © 2020 Alpha Publishers. All rights reserved.
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- Appears in
Collections - College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

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