Anole: reconfiguration-based protocol for dynamic asynchronous Byzantine fault tolerance
Daxin Zhu, Jiazhi Tu, Jiaxing Liu, Tianyu Jiang, Cankun Hou, Boxi Chen, Jianbing Xiahou, Hui Min Qiao 等 10 位
Quanzhou Normal University Guangzhou University Fuzhou University Macao Polytechnic University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Byzantine Fault Tolerance consensus protocols are widely used in permissioned blockchain systems to ensure data consistency and reliability. However, traditional Asynchronous Byzantine Fault Tolerance (ABFT) protocols are typically designed for static membership, where the consensus node set remains fixed. This static design makes dynamic node admission, departure, and exclusion difficult, since membership changes usually require costly system-wide reconfiguration and may interrupt normal consensus operation. Moreover, existing ABFT protocols provide limited support for evidence-based handling of suspected inactive or faulty nodes, which restricts their applicability in dynamic permissioned environments.To address these challenges, this paper presents Anole, a reconfiguration-based protocol for dynamic Asynchronous Byzantine Fault Tolerance. Anole supports certificate-based Join, Leave, and Complain operations while preserving the ordinary transaction-consensus path under the current membership. Instead of relying on an external single trusted third party, Anole uses a replicated Byzantine-fault-tolerant Supervisor Committee (SC) to handle certificate issuance and key-management requests. The ordinary transaction-consensus path combines dynamic threshold public-key encryption with Bracha’s local-coin ABA under an asynchronous network model, while the current PBFT-based Supervisor Committee implementation is treated as a low-frequency management path whose liveness relies on partial synchrony. We evaluate Anole against HoneyBadgerBFT, Dumbo, and HotStuff in LAN and WAN deployments of up to 31 nodes, reporting both consensus latency and derived throughput under a fixed batch size. The results show that Anole provides dynamic-membership support with competitive consensus performance.
逐年被引趋势
暂无年度引用数据
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
计算机 / AIDistributed systems and fault tolerance
Blockchain Technology Applications and Security · Cryptography and Data Security
参考文献 24
此处列出前 3 条