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关于物联网系统中的隐私保护技术的调查
Rupinder Kaur1, Tiago Rodrigues1, Nourin Kadir1
1Electrical, Computer and Biomedical Engineering Department, Toronto Metropolitan University, 350 Victoria St, Toronto, ON M5B2K3, Canada.
Sensors (Basel, Switzerland)
|November 27, 2025
概括
本调查审查了物联网 (IoT) 的隐私保护技术. 区块链和联合学习是关键,但安全物联网系统面临的开销和可扩展性等挑战仍然存在.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 信息技术 信息技术 信息技术
背景情况:
- 物联网 (IoT) 整合了数十亿台设备,由于不断收集和交换数据,引发了重大隐私和安全问题.
- 应用范围涵盖智能家居,医疗保健,工业自动化和环境监测,需要强大的数据保护.
研究的目的:
- 系统地审查物联网系统中最先进的隐私保护技术.
- 分析在收集,传输和存储期间保护用户数据的机制.
- 确定安全物联网架构的当前研究趋势,局限性和未来方向.
主要方法:
- 对同行评审研究 (2016-2025) 和技术报告的分析.
- 检查应用的隐私机制,数据集和分析模型.
- 专注于去中心化方法 (区块链,联合学习) 和新兴技术 (同态加密,差异隐私).
主要成果:
- 区块链和联合学习是物联网中普遍存在的去中心化隐私保护方法.
- 同型加密和差异隐私对轻量级和基于边缘的物联网充满希望.
- 持续的挑战包括资源有限的物联网设备中的计算开销,可扩展性和实时性能.
结论:
- 在无人机和车辆物联网的跨域互操作性,节能加密和隐私解决方案方面存在差距.
- 未来的研究应该解决这些局限性,以促进安全和隐私意识的物联网架构.
- 隐私技术的进步对于物联网生态系统的持续增长和可信度至关重要.
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