Abstract
AbstractPrivacy-preserving communication in cooperative control is essential for effective operations of various systems where sensitive information needs to be protected. This includes systems such as smart grids, traffic management systems, autonomous vehicle networks, healthcare systems, financial networks, and social networks. Recent privacy-preserving cooperative control literature is categorized and discussed in this paper. Advantages and disadvantages of differential privacy and encryption-based privacy-preserving protocols are described. The objective of this work is to examine and analyze existing research and knowledge related to the preservation of privacy in the context of cooperative control. This paper aims to identify and present a range of approaches, techniques, and methodologies that have been proposed or employed to address privacy concerns in multi-agent systems. It seeks to explore the current challenges, limitations, and gaps in the existing literature. It also aims to consolidate the findings from various studies to provide an overview of privacy-preserving cooperative control in multi-agent systems. The goal is to assist in the development of novel privacy-preserving mechanisms for cooperative control.
Publisher
Springer Science and Business Media LLC
Reference120 articles.
1. Hasanuzzaman Shawon, M., Muyeen, S.M., Ghosh, A., Islam, S.M., Baptista, M.S.: “Multi-agent systems in ict enabled smart grid: A status update on technology framework and applications.” IEEE Access. 7, 97 959–97 973 (2019)
2. Joudaki, M., Zadeh, P.T., Olfati, H.R., Deris, S.: “A survey on deep learning methods for security and privacy in smart grid.” In 2020 15th International Conference on Protection and Automation of Power Systems (IPAPS), pp. 153–159 (2020)
3. Wagh, G.S., Gupta, S., Mishra, S.: “A distributed privacy preserving framework for the smart grid.” In 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), pp. 1–5 (2020)
4. Liang, C.-D., Ge, M.-F., Xu, J.-Z., Liu, Z.-W., Liu, F.: Secure and privacy-preserving formation control for networked marine surface vehicles with sampled-data interactions. Automatica 71(2), 1307–1318 (2022)
5. Jolfaei, A., Kant, K.: “Privacy and security of connected vehicles in intelligent transportation system.” IEEE/IFIP International Conference on Dependable Systems and Networks, pp. 9—10 (2019)