Privacy-Preserving and Secure Average Consensus

Autor: Yalian Wu, Jiaqi Zhao, Jinbiao Luo, Qingyu Yang
Rok vydání: 2020
Předmět:
Zdroj: Communications in Computer and Information Science ISBN: 9789813342132
DOI: 10.1007/978-981-33-4214-9_15
Popis: Average consensus is the key to distributed networks, widely used in distributed sensor networks, smart grid energy management and automatic control. In the traditional average consensus algorithm, the explicit exchange of status values with its neighbors through real identity will lead to the leakage of node status information and privacy issues. This paper proposes a novel confidential interaction scheme. In this method, the group signature scheme is applied to the consensus interaction process to provide anonymity for the nodes, and at the same time to encrypt the exchanged information, so as to ensure the privacy of the nodes, and also ensure that the consensus state reaches an accurate value. Besides, our scheme can also trace the dishonest nodes in the interaction process. Finally, the effectiveness of the proposed scheme is illustrated by numerical simulation.
Databáze: OpenAIRE