拜占庭攻击下基于以太坊的智慧工厂安全防御策略
An Ethereum-based security defense strategy against the Byzantine attack in smart factories
杨宪棋 1高庆 1吕金虎 1张春阳 1王爽2
作者信息
- 1. 北京航空航天大学自动化科学与电气工程学院,北京 100083;中关村实验室,北京 100080
- 2. 东南大学计算机科学与工程学院,江苏南京 211189
- 折叠
摘要
针对拜占庭攻击下智慧工厂的防御问题,本文提出了一种基于以太坊的安全机制.首先,本文提出一种基于参考圆的层级信息流动机制.在该机制下,系统将节点分为普通节点与关键节点,占多数的普通节点通过对占少数的关键节点的作恶概率进行评估,降低恶意关键节点作恶的成功率.其次,本文提出信誉驱动的贝叶斯推理方法作为普通节点评估恶意关键节点行为的凭据,通过综合考虑节点的信誉与节点间的物理距离等因素,提高评估准确率.最后,本文使用协作机械臂作为仿真场景验证所提出方法的可用性与有效性.
Abstract
This paper proposes an Ethereum-based security strategy to defend the Byzantine attack in the smart factories.Firstly,a reference circle-based hierarchical information flow mechanism is proposed,where the nodes in the smart factory are divided into the many common nodes and the few key nodes.The common nodes evaluate the possibility of the key nodes to behave maliciously,by which attacks from the key nodes are more likely to be unsuccessful.Secondly,a reputation-driven Bayesian inference method where the reputation of nodes,the physical distance between nodes are considered to improve the efficiency of evaluation of malicious behaviors.Finally,a series of simulation experiments are carried out using robotic arms and the simulation results are presented to verify the availability and effectiveness of the proposed method.
关键词
智慧工厂/拜占庭攻击/以太坊/贝叶斯推理/工业安全Key words
smart factories/Byzantine attack/Ethereum/Bayesian inference/industrial security引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据