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| 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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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.
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Received: 09 January 2024
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| Fund:National Natural Science Foundation of China(No.92367109) |
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Corresponding Authors:
HUANG Jie, Ph.D., professor. His research interests include multi-agent systems and industrial Internet.
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| About author:: ZENG Jiazhou, Master student. His research interests include blockchain and swarm robotics. |
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2024, Vol. 37 
