A Consensus Algorithm Based on Risk Assessment Model for Permissioned Blockchain
Xiaohui Zhang, Mingying Xue, Xianghua Miao

TL;DR
This paper introduces RAC, a new consensus algorithm for permissioned blockchains that balances security, speed, and scalability using risk assessment and decentralized design.
Contribution
It proposes a novel risk assessment-based consensus protocol tailored for permissioned blockchains, addressing performance-security trade-offs.
Findings
Improves transaction throughput and security balance
Enhances scalability without compromising security
Demonstrates effectiveness through experimental validation
Abstract
Blockchain technology enables stakeholders to conduct trusted data sharing and exchange without a trusted centralized institution. These features make blockchain applications attractive to enhance trustworthiness in very different contexts. Due to unique design concepts and outstanding performance, blockchain has become a popular research topic in industry and academia in recent years. Every participant is anonymous in a permissionless blockchain represented by cryptocurrency applications such as Bitcoin. In this situation, some special incentive mechanisms are applied to permissionless blockchain, such as mined native cryptocurrency to solve the trust issues of permissionless blockchain. In many use cases, permissionless blockchain has bottlenecks in transaction throughput performance, which restricts further application in the real world. A permissioned blockchain can reach a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBlockchain Technology Applications and Security · IoT and Edge/Fog Computing · Cloud Computing and Resource Management
