Survey of Recent Results in Privacy-Preserving Mechanisms for Multi-Agent Systems

Abstract Privacy-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.

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Publication Details

Journal
Journal of Intelligent & Robotic Systems
Published
2024-09-05
DOI
https://doi.org/10.1007/s10846-024-02161-9
Citations
4
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
1.39
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article

Survey of Recent Results in Privacy-Preserving Mechanisms for Multi-Agent Systems

Margareta Stefanovic, Magdalena Kossek
4 citations
Journal of Intelligent & Robotic Systems
Privacy-Preserving Technologies in Data
1.39
article

Survey of Recent Results in Privacy-Preserving Mechanisms for Multi-Agent Systems

Margareta Stefanovic, Magdalena Kossek
article en
4 citations

Abstract

Abstract Privacy-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.

Journal of Intelligent & Robotic SystemsVol. 110(3)
University of Denver (US)
Openalex Percentile: Top 16%
Privacy-Preserving Technologies in Data
1.39
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Survey of Recent Results in Privacy-Preserving Mechanisms for Multi-Agent Systems — Margareta Stefanovic, Magdalena Kossek · Journal of Intelligent & Robotic Systems (2024) | TGRS Research Map | TGRS