期刊名称：International Journal of Wireless and Microwave Technologies(IJWMT)
印刷版ISSN：2076-1449
电子版ISSN：2076-9539
出版年度：2018
卷号：8
期号：5
页码：1-9
DOI：10.5815/ijwmt.2018.05.01
出版社：MECS Publisher
摘要：Blockchain’s vast applications in different industries have drawn several researchers to pursue extensive research in securing blockchain technologies. In recent times we could see several institutions coming together to create consortium based blockchain networks such as Hyperledger. Although for applications of blockchain such as Bitcoin, Litcoin, etc. the majority-attack might not be a great threat but for consortium based blockchain networks where we could see several institutions such as public, private, government, etc. are collaborating, the majority-attack might just prove to be a prevalent threat if collusion among these institutions takes place. This paper proposes a methodology where we can use intelligent software agents to monitor the activity of stakeholders in the blockchain networks to detect anomaly such as collusion, using supervised machine learning algorithm and algorithmic game theory and stop the majority attack from taking place.
关键词：Computer Security;network;blockchain;machine learning;algorithmic game theory;majority attack;anomaly detection
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