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A Proof of Work: Securing Majority-Attack in Blockchain Using Machine Learning and Algorithmic Game Theory

Dey, Somdip (2018) 'A Proof of Work: Securing Majority-Attack in Blockchain Using Machine Learning and Algorithmic Game Theory.' International Journal of Wireless and Microwave Technologies, 8 (5). pp. 1-9. ISSN 2076-1449

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Abstract

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.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 14 Feb 2019 17:26
Last Modified: 08 Jan 2022 00:33
URI: http://repository.essex.ac.uk/id/eprint/24024

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