Affiliation:
1. School of Information Science and Engineering East China University of Science and Technology Shanghai China
Abstract
In this letter, we consider the privacy‐preserving strategy of the distributed state estimator over wireless sensor networks. Aiming at an eavesdropper who can intercept the data transmitted on the communication channel, we design a simple preserving scheme to encode the transmitted data by using system dynamics and history estimates. To analyze the privacy‐preserving performance, we use the gap between the values deciphered by the eavesdropper and decoded by the sensor as the privacy index to evaluate the degree of robust privacy protection. Finally, we provide some simulations to illustrate the effectiveness of the proposed preserving schemes.
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Subject
Artificial Intelligence,Computer Networks and Communications,Information Systems,Software
Cited by
1 articles.
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1. Towards data privacy in a fog of things;Internet Technology Letters;2024-02-24