模式识别与人工智能
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模式识别与人工智能  2024, Vol. 37 Issue (3): 267-281    DOI: 10.16451/j.cnki.issn1003-6059.202403007
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基于区块链声誉管理的拜占庭机器人识别方法
黄捷1,2, 曾佳洲1,2
1.福州大学 电气工程与自动化学院 福州 350108;
2.福州大学 5G+工业互联网研究院 福州 350108
Byzantine Robot Recognition Scheme via Blockchain-Based Reputation Management
HUANG Jie1,2, ZENG Jiazhou1,2
1. College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108;
2. 5G+ Industrial Internet Institute, Fuzhou University, Fuzhou 350108

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摘要 基于区块链技术,提出具有身份认证和任务监管的声誉管理系统(Reputation Management System with Identity Authentication and Task Supervisor, RMS-IATS),解决群机器人内拜占庭机器人的识别问题,避免拜占庭机器人对群机器人造成安全威胁.首先,改进经典的基于区块链的群机器人声誉管理系统(Reputation Management System, RMS),引入惩罚因子,针对长期存在拜占庭行为的机器人实施更严厉的声誉值惩罚.其次,为了加快拜占庭机器人的识别速度,设计一种身份认证协议,将身份非法的机器人赋予一个较低的初始声誉值.再者,设计一种双层通信网络,用于机器人间的通信,解决群机器人系统因采用区块链技术带来的通信延迟问题.最后,通过仿真实验验证基于区块链的RMS-IATS和双层通信网络的有效性.相比经典的群机器人RMS,RMS-IATS在仿真模拟中识别不同类型拜占庭机器人所需的时间更短.相比使用区块链技术,在系统中使用双层通信网络进行通信时,可大幅减少系统的最大通信延迟.
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黄捷
曾佳洲
关键词 区块链群机器人拜占庭机器人声誉管理系统(RMS)身份认证任务监管    
Abstract:A reputation management system with identity authentication and task supervisor (RMS-IATS) for swarm robotics via blockchain technology is proposed to identify Byzantine robots within the swarm robotics and avoid the security threat caused by Byzantine robots to swarm robotics. Firstly, a classical blockchain-based swarm robotics reputation management system(RMS) is improved by introducing penalty factors, and a severer reputation value penalty is imposed on the robotics with long-term Byzantine behavior. Secondly, to speed up the identification of Byzantine robots within swarm robotics, an identity authentication protocol is devised, and thus lower initial reputation scores are assigned to the robots with unauthorized identities. Next, a dual-layer communication network for communication between robots is designed to solve the communication latency issue caused by blockchain in the swarm robotics system. Finally, the feasibility of the proposed blockchain-based RMS-IATS and dual-layer communication network is proved through simulations. The identification time for different types of Byzantine robots is shortened by RMS-IATS compared with the classical RMS for swarm robotics, and the maximum communication latency of the system is reduced by the proposed dual-layer communication network compared with the blockchain.
Key wordsBlockchain    Swarm Robotics    Byzantine Robot    Reputation Management System(RMS)    Identity Authentication    Task Supervisor   
收稿日期: 2024-01-09     
ZTFLH: TP 242  
基金资助:国家自然科学基金项目(No.92367109)资助
通讯作者: 黄 捷,博士,教授,主要研究方向为多智能体系统、工业互联网.E-mail:jie.huang@fzu.edu.cn.   
作者简介: 曾佳洲,硕士研究生,主要研究方向为区块链、群机器人.E-mail:863459523@qq.com.
引用本文:   
黄捷, 曾佳洲. 基于区块链声誉管理的拜占庭机器人识别方法[J]. 模式识别与人工智能, 2024, 37(3): 267-281. HUANG Jie, ZENG Jiazhou. Byzantine Robot Recognition Scheme via Blockchain-Based Reputation Management. Pattern Recognition and Artificial Intelligence, 2024, 37(3): 267-281.
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