DC Field | Value | Language |
---|---|---|
dc.contributor.author | HONG, WON KI | - |
dc.contributor.author | Kang, Changhoon | - |
dc.contributor.author | WOO, JONG SOO | - |
dc.contributor.author | Hong, James Won-Ki | - |
dc.date.accessioned | 2024-03-05T09:35:00Z | - |
dc.date.available | 2024-03-05T09:35:00Z | - |
dc.date.created | 2024-03-04 | - |
dc.date.issued | 2023-05-05 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/121134 | - |
dc.description.abstract | Bitcoin transactions include unspent transaction outputs (UTXOs) as their inputs and generate one or more newly owned UTXOs at specified addresses. Each U TXO can only be used as an input in a transaction once, and using it in two or more different transactions is referred to as a double-spending attack. Ultimately, due to the characteristics of the Bitcoin protocol, double-spending is impossible. However, problems may arise when a transaction is considered final even though i ts finality has not been fully guaranteed in order to achieve fast payment. In this paper, we propose an approach to detecting Bitcoin double-spending attacks using a graph neural network (GNN). This model predicts whether all nodes in the network contain a given payment transaction in their own memory pool (mempool) using information only obtained from some observer nodes in the network. Our experiment shows that the proposed model can detect double-spending with an accuracy of at least 0.95 when more than about 1% of the entire nodes in the network are observer nodes. | - |
dc.language | English | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.relation.isPartOf | 5th IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2023 | - |
dc.relation.isPartOf | 2023 IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2023 | - |
dc.title | Bitcoin Double-Spending Attack Detection using Graph Neural Network | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.identifier.bibliographicCitation | 5th IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2023 | - |
dc.citation.conferenceDate | 2023-05-01 | - |
dc.citation.conferencePlace | AE | - |
dc.citation.title | 5th IEEE International Conference on Blockchain and Cryptocurrency, ICBC 2023 | - |
dc.contributor.affiliatedAuthor | HONG, WON KI | - |
dc.contributor.affiliatedAuthor | Kang, Changhoon | - |
dc.contributor.affiliatedAuthor | WOO, JONG SOO | - |
dc.contributor.affiliatedAuthor | Hong, James Won-Ki | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
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