Encrypted Zonotopic Set-Based Estimation for Cyber-Physical Systems

• 成果类型: Article
• 署名作者: Liu, Hao; Huang, Zixin; Xu, Shengyuan; Niu, Ben; Wei, Zi-Ang
• 署名单位: Wuhan Institute of Technology; Nanjing University of Science & Technology; Dalian University of Technology
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2026.3662529
• 发表日期: 2026
• 关键词: SECURE

摘要

In this article, encrypted set-based estimation is investigated for cyber-physical systems with unknown-but-bounded noises, which permits to outsource the state estimation of privacy-sensitive data via public networks to the third-party platforms. To prevent the leakage of the key information by eavesdropping, homomorphic encryption approach is employed. First, the classic Paillier encryption is utilized to encrypt data and the effect caused by the quantization error is analyzed as well. Then, (2,2)-threshold secret sharing encryption scheme is proposed to reduce the computation burden by using two shares by assuming that the two clouds are not colluding, and the corresponding security is further discussed. Finally, numerical simulations are given to illustrate the validity of the main results.