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거래 기반 블록체인 네트워크 이중지불 탐지에 대한 연구A Study on Transaction Oriented Blockchain Network to Detect Double Spending Attack
- Other Titles
- A Study on Transaction Oriented Blockchain Network to Detect Double Spending Attack
- Issue Date
- Dec-2019
- Publisher
- 대한산업공학회
- Keywords
- Blockchain; Convolution Neural Network (CNN); Double-Spending Attack; Network; Bitcoin Gold
- Citation
- 대한산업공학회지, v.45, no.6, pp.514 - 520
- Indexed
- KCI
- Journal Title
- 대한산업공학회지
- Volume
- 45
- Number
- 6
- Start Page
- 514
- End Page
- 520
- ISSN
- 1225-0988
- Abstract
- Blockchain is a technological concept that forms the basis for cryptocurrency used in cryptocurrency systems such as bitcoin and etherium. However, because there is no central institution and it consists of transactions among participants in the network, a series of double-spending attacks occurred by rogue miners, securing 51% of the computing power of a particular blockchain network and resulting in a massive outflow of funds. The purpose of this paper is to propose the method to detect blockchain network double-spending attacks in earlier stage by distinguishing the differences between ordinary transactions and double spending attacks. †
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Collections - 서울 공과대학 > 서울 산업공학과 > 1. Journal Articles
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Related Researcher
- Bae, Suk Joo
- COLLEGE OF ENGINEERING (DEPARTMENT OF INDUSTRIAL ENGINEERING)