Security and privacy protection in swarm intelligence systems: a review

YAN Yuping; GAO Ting; XIE Yuhan; JIN Yaochu

doi:10.11959/j.issn.1000-0801.2025052

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Security and privacy protection in swarm intelligence systems: a review

Review | 更新时间：2025-10-31

- Security and privacy protection in swarm intelligence systems: a review
- Telecommunications Science Vol. 41, Issue 4, Pages: 61-80(2025)
- 作者机构：
  
  1.西湖大学可信及通用人工智能实验室，浙江杭州 310024
  2.西安电子科技大学，陕西西安 710071
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(W2441019)
- DOI：10.11959/j.issn.1000-0801.2025052
  CLC： TP393
- Received：01 December 2024，
  
  Revised：2025-03-06，
  
  Published：20 April 2025
- 稿件说明：
移动端阅览
严宇萍,高婷,谢雨晗等.群智能系统的安全与隐私保护综述[J].电信科学,2025,41(04):61-80.

YAN Yuping,GAO Ting,XIE Yuhan,et al.Security and privacy protection in swarm intelligence systems: a review[J].Telecommunications Science,2025,41(04):61-80.
严宇萍,高婷,谢雨晗等.群智能系统的安全与隐私保护综述[J].电信科学,2025,41(04):61-80. DOI： 10.11959/j.issn.1000-0801.2025052.

YAN Yuping,GAO Ting,XIE Yuhan,et al.Security and privacy protection in swarm intelligence systems: a review[J].Telecommunications Science,2025,41(04):61-80. DOI： 10.11959/j.issn.1000-0801.2025052.

摘要

群智能系统凭借其分布式架构、高自组织性和强鲁棒性等特征，在推动社会生产和生活方式智能化发展方面展现出巨大的潜力。然而，安全性与隐私保护问题已成为制约其稳定运行与广泛应用的关键因素，直接影响用户信任度与技术的规模化部署。因此，确保群智能系统的运行安全、实现数据隐私保护，并增强其在复杂环境中的抗攻击能力和鲁棒性，已成为当前亟待解决的重大问题。对此，全面描述了群智能系统的定义、特点、通用结构及其应用场景等，明确提出现阶段群智能系统涵盖数据、通信、系统可靠、鲁棒和信任管理的安全目标与相关数据、身份和意图的隐私保护目标，并分析主要攻击方法及相关防御技术。在此基础上，系统梳理当前主流的解决方案，以应对群智能系统在安全与隐私保护方面的问题。最后，深入探讨群智能系统在这一领域面临的核心挑战，并展望未来可能的发展方向，旨在为后续的研究提供理论支持与技术指导。

Abstract

Swarm intelligence systems are recognized for their significant potential in advancing the intelligent development of social production and lifestyle

owing to their distributed architecture

high self-organization

and strong robustness. However

security and privacy protection issues were identified as critical factors limiting their stable operation and widespread application

directly impacting user trust and the large-scale deployment of the technology. Consequently

ensuring the operational security of swarm intelligence systems

achieving data privacy protection

and enhancing their anti-attack capabilities and robustness in complex environments were highlighted as urgent challenges to be addressed. In this context

their definitions

characteristics

general structures

and application scenarios of swarm intelligence systems were comprehensively described. The security objectives covering data

communication

system reliability

robustness

and trust management

as well as the privacy protection objectives related to data

identity

and intent

were explicitly proposed. Additionally

the main attack methods and related defense techniques were analyzed. Based on this

current mainstream solutions were systematically reviewed to address the security and privacy protection issues in swarm intelligence systems. Finally

the core challenges faced by swarm intelligence systems in this field were thoroughly discussed

and potential future development directions were explored

aiming to provide theoretical support and technical guidance for subsequent research.

关键词

Keywords

references

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