Toward Prevention of Parasite Chain Attack in IOTA Blockchain Networks by Using Evolutionary Game Model
IOTA is a new cryptocurrency system designed for the Internet of Things based on directed an acyclic graph structure. It has the advantages of supporting high concurrency, scalability, and zero transaction fees; however, due to the particularity of the directed acyclic graph structure, IOTA faces mo...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-03-01
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| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/10/7/1108 |
| _version_ | 1797438516949417984 |
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| author | Yinfeng Chen Yu Guo Yaofei Wang Rongfang Bie |
| author_facet | Yinfeng Chen Yu Guo Yaofei Wang Rongfang Bie |
| author_sort | Yinfeng Chen |
| collection | DOAJ |
| description | IOTA is a new cryptocurrency system designed for the Internet of Things based on directed an acyclic graph structure. It has the advantages of supporting high concurrency, scalability, and zero transaction fees; however, due to the particularity of the directed acyclic graph structure, IOTA faces more complex security threats than the sequence blockchain, in which a parasite chain attack is a common double-spending attack. In this work, we propose a scheme that can effectively prevent parasite chain attacks to improve the security of the IOTA ledger. Our main idea is to analyze the behavior strategies of IOTA nodes based on evolutionary game theory and determine the key factors affecting the parasite chain attack and the restrictive relationship between them. Based on the above research, we provide a solution to resist the parasite chain attack and further prove the effectiveness of the scheme by numerical simulation. Finally, we propose the parasite chain attack prevention algorithms based on price splitting to effectively prevent the formation of the parasite chain. |
| first_indexed | 2024-03-09T11:37:59Z |
| format | Article |
| id | doaj.art-465c8b011da0456aa0f61168b8acd9b7 |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-09T11:37:59Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-465c8b011da0456aa0f61168b8acd9b72023-11-30T23:37:18ZengMDPI AGMathematics2227-73902022-03-01107110810.3390/math10071108Toward Prevention of Parasite Chain Attack in IOTA Blockchain Networks by Using Evolutionary Game ModelYinfeng Chen0Yu Guo1Yaofei Wang2Rongfang Bie3School of Artificial Intelligence, Beijing Normal University, Beijing 100875, ChinaSchool of Artificial Intelligence, Beijing Normal University, Beijing 100875, ChinaSchool of Artificial Intelligence, Beijing Normal University, Beijing 100875, ChinaSchool of Artificial Intelligence, Beijing Normal University, Beijing 100875, ChinaIOTA is a new cryptocurrency system designed for the Internet of Things based on directed an acyclic graph structure. It has the advantages of supporting high concurrency, scalability, and zero transaction fees; however, due to the particularity of the directed acyclic graph structure, IOTA faces more complex security threats than the sequence blockchain, in which a parasite chain attack is a common double-spending attack. In this work, we propose a scheme that can effectively prevent parasite chain attacks to improve the security of the IOTA ledger. Our main idea is to analyze the behavior strategies of IOTA nodes based on evolutionary game theory and determine the key factors affecting the parasite chain attack and the restrictive relationship between them. Based on the above research, we provide a solution to resist the parasite chain attack and further prove the effectiveness of the scheme by numerical simulation. Finally, we propose the parasite chain attack prevention algorithms based on price splitting to effectively prevent the formation of the parasite chain.https://www.mdpi.com/2227-7390/10/7/1108IOTAparasite chain attackthe tangleevolutionary gamesecurity |
| spellingShingle | Yinfeng Chen Yu Guo Yaofei Wang Rongfang Bie Toward Prevention of Parasite Chain Attack in IOTA Blockchain Networks by Using Evolutionary Game Model Mathematics IOTA parasite chain attack the tangle evolutionary game security |
| title | Toward Prevention of Parasite Chain Attack in IOTA Blockchain Networks by Using Evolutionary Game Model |
| title_full | Toward Prevention of Parasite Chain Attack in IOTA Blockchain Networks by Using Evolutionary Game Model |
| title_fullStr | Toward Prevention of Parasite Chain Attack in IOTA Blockchain Networks by Using Evolutionary Game Model |
| title_full_unstemmed | Toward Prevention of Parasite Chain Attack in IOTA Blockchain Networks by Using Evolutionary Game Model |
| title_short | Toward Prevention of Parasite Chain Attack in IOTA Blockchain Networks by Using Evolutionary Game Model |
| title_sort | toward prevention of parasite chain attack in iota blockchain networks by using evolutionary game model |
| topic | IOTA parasite chain attack the tangle evolutionary game security |
| url | https://www.mdpi.com/2227-7390/10/7/1108 |
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