多代理系统隐私保护机制最新成果概览

IF 3.1 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Intelligent & Robotic Systems Pub Date : 2024-09-05 DOI:10.1007/s10846-024-02161-9
Magdalena Kossek, Margareta Stefanovic
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引用次数: 0

摘要

协同控制中的隐私保护通信对于需要保护敏感信息的各种系统的有效运行至关重要。这包括智能电网、交通管理系统、自动驾驶汽车网络、医疗保健系统、金融网络和社交网络等系统。本文对近期的隐私保护合作控制文献进行了分类和讨论。介绍了差分隐私和基于加密的隐私保护协议的优缺点。这项工作的目的是研究和分析与合作控制中的隐私保护相关的现有研究和知识。本文旨在确定并介绍一系列为解决多代理系统中的隐私问题而提出或采用的方式、技术和方法。本文旨在探讨现有文献中存在的挑战、局限和差距。它还旨在整合各种研究成果,为多代理系统中的隐私保护合作控制提供一个概览。其目的是协助开发新型隐私保护合作控制机制。
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Survey of Recent Results in Privacy-Preserving Mechanisms for Multi-Agent Systems

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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来源期刊
Journal of Intelligent & Robotic Systems
Journal of Intelligent & Robotic Systems 工程技术-机器人学
CiteScore
7.00
自引率
9.10%
发文量
219
审稿时长
6 months
期刊介绍: The Journal of Intelligent and Robotic Systems bridges the gap between theory and practice in all areas of intelligent systems and robotics. It publishes original, peer reviewed contributions from initial concept and theory to prototyping to final product development and commercialization. On the theoretical side, the journal features papers focusing on intelligent systems engineering, distributed intelligence systems, multi-level systems, intelligent control, multi-robot systems, cooperation and coordination of unmanned vehicle systems, etc. On the application side, the journal emphasizes autonomous systems, industrial robotic systems, multi-robot systems, aerial vehicles, mobile robot platforms, underwater robots, sensors, sensor-fusion, and sensor-based control. Readers will also find papers on real applications of intelligent and robotic systems (e.g., mechatronics, manufacturing, biomedical, underwater, humanoid, mobile/legged robot and space applications, etc.).
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