UNCSC: Uniform Node Confidence-Based Scoring Consensus

Abstract

The Uniform Node Confidence-Based Scoring Consensus (UNCSC) is a novel framework designed to evaluate and rank nodes within uniform decentralized networks where all nodes possess uniform computational capability to ensure fair and secure node selection. Unlike traditional consensus mechanisms that rely on computational power or stake, UNCSC employs a confidence-based scoring system to assess each node based on multiple predefined metrics, including reliability, security practices, network participation, peer endorsements, and adherence to standard protocols. This comprehensive evaluation aims to enhance the trust and performance of decentralized networks.

The UNCSC system utilizes performance metrics from active nodes to calculate confidence scores, which are then used to rank nodes globally. The process involves evaluating raw test scores, scaling them, adjusting evaluation scores, and calculating final performance scores. Nodes are subsequently assigned to performance zones using a hybrid strategy that ensures fair comparison within similar performance bands. This method promotes an egalitarian and secure approach to node selection by consistently ranking nodes based on their proven trustworthiness.

The system’s effectiveness was demonstrated through detailed simulations and statistical analysis, showing that the differences in performance scores across zones were not statistically significant, thereby validating the fairness of the ranking process. The UNCSC framework’s flexibility and scalability make it suitable for various decentralized environments, including blockchain, IoT, and edge computing networks.