Fuzzy random proof of work for consensus algorithm in blockchain

Abstract

The consensus method, being one of the most important aspects of blockchain, differs depending on the sector. The commonly used proof-of-work (PoW) consensus technique for public chain application scenarios still has challenges that are difficult to handle, such as security and high computer power. As a result, the PoW method is investigated in terms of enlarging the solution space and improving the adjustment mechanism. A consensus technique based on fuzzy random proof of work (FRMH) is presented. The FRMH algorithm improves the security of the blockchain consensus mechanism by increasing the solution space of the consensus algorithm by incorporating technologies such as a fuzzy transitive closure matrix in fuzzy mathematics. In addition, the FRMH algorithm uses a dual adjustment method to cope with machines with high computational power and thus solves the issue of high computing power being difficult to regulate on the blockchain. Through mathematics, it has been shown that the FRMH algorithm has greatly enhanced solution space and greater processing power control.