Trust Model to Identify Reputed Miners in Blockchain Pool Mining

Blockchain mining has received a growing amount of interest as the modern technologies started using Blockchain network as it provides immutability and secure access through consensus process. In Blockchain networks that rely on proof-of-work (POW) for consensus process, where miners compete to solve crypto-puzzles and publish new blocks in order to gain rewards. Because solo mining is challenging, most miners decide to join a mining pool. Given the variety of mining pools and the potential adoption of different reward systems, many questions remain open regarding the miner’s selection in pool mining. However, ensuring trust of a node during consensus and mining process has few challenges to explore. Nodes in a mining pool contribute their processing power toward the effort of adding a block as part of consensus. If the pool is successful in these efforts, they receive a reward. Therefore, to ensure the execution of the consensus protocol a trust model is proposed in our work. Our proposed trust paradigm focused on firstly, how to evaluate the unstable behavior of miners based on their performance on the network. Secondly, how to identify highly ranked-trusted miner in mining pool to maximize pool profit. These issues necessitate ranking methods in mining pool, to rank reputed miners. Therefore, this paper proposes a trust model to identify highly ranked-trusted miners in pool mining. Further, proposed Trust Model is suitably analyzed for transaction volume, latency, and block propagation time with the Hyper ledger framework to ensure robustness.