A Fuzzy Trust Model for Ethereum Blockchain

Abstract

With the rapid proliferation of blockchain technology, Ethereum has emerged as a prominent platform for decentralised applications and smart contracts. Ensuring the integrity and reliability of the Ethereum network is paramount for its sustained success. This research introduces an innovative approach for approximating the trust levels of Ethereum nodes, which is crucial for maintaining the network's security and performance. Leveraging the Mamdani fuzzy model, this study proposes a comprehensive framework that evaluates trustworthiness by considering multiple parameters, including token count. Transaction count and Ether percentage held by Ethereum node user. These parameters are fuzzified and transformed into linguistic variables, then processed through a Mamdani Fuzzy Model. The model uses predefined linguistic rules and membership functions to assign a trust score to each node user.