Notary Evaluation Algorithm Adaptable to Node State Changes for Cross-Chain Notaries

Abstract

Cross-chain technology has emerged as a current research hotspot in the field of blockchain. Scholars have proposed various cross-chain technologies to address the issue of "data islands." Among these technologies, the notary mechanism is one of the principal approaches. However, existing research on notary evaluation tends to favor older nodes and struggles to adapt to changes in node states. To address this challenge, this paper proposes a notary evaluation algorithm capable of adapting to node state changes. The algorithm divides the node reputation value into transaction scores and trust scores. The reputation value is then calculated based on the actual transaction cycle, thereby bringing the node reputation value closer to the node's current performance level. The experimental results show that the algorithm can effectively cope with node state changes and more accurately identify malicious nodes and trustworthy nodes than similar schemes, preventing the efficiency and success rate of the cross-chain system from decreasing due to the inability of the algorithm to adapt to node state changes. At the same time, the problem of low reputation value of new nodes due to the lack of trust relationship is alleviated, which is more conducive to mobilizing nodes to join the notary group. Through these improvements, the reliability and operational efficiency of the cross-chain system can be effectively improved.

Received: 20 October 2024 | Revised: 3 December 2024 | Accepted: 27 February 2025

Conflicts of Interest

The authors declare that they have no conflicts of interest to this work.

Data Availability Statement

The processed data required to reproduce these findings cannot be shared at this time as the data also form part of an ongoing study.

Author Contribution Statement

Chenhong Xie: Conceptualization, Methodology, Software, Validation, Formal analysis, Data curation, Writing – original draft, Writing – review & editing, Visualization. Xiaoming Hu: Conceptualization, Validation, Investigation, Resources, Writing – review and editing, Supervision, Project administration. Shuangjie Bai: Investigation, Data curation, Writing – review & editing, Visualization, Supervision. Yan Liu: Resources, Writing – review & editing, Visualization, Supervision.