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关于保护物联网社交网络的全面调查:协议,威胁减轻,技术集成,工具和性能指标
Deepa Ashok Patil1, Shyamala G2
1Department of Computer Science and Engineering, B.M.S College of Engineering, affiliated to Visvesvaraya Technological University, Bengaluru, 560019, Karnataka, India. deepaashok@bmsce.ac.in.
Scientific reports
|November 17, 2025
概括
这项调查分析了225篇关于物联网 (SIoT) 安全性的论文,重点是区块链和AI/ML. 它确定了安全,分散的SIoT环境的关键挑战和未来方向.
科学领域:
- 网络安全 网络安全
- 计算机网络 计算机网络
- 人工智能的人工智能
背景情况:
- 社交物联网 (SIoT) 将社交网络与物联网整合在一起,使自主设备交互成为可能.
- SIoT增强了互操作性,但在信任管理,安全和数据保护方面引入了重大挑战.
研究的目的:
- 对SIoT安全方面的进展进行全面的调查.
- 分析研究趋势,确定安全挑战,并提出未来的研究方向.
主要方法:
- 在2014年至2025年9月期间发表的225篇论文的系统文献综述.
- 分析跨架构基础,安全要求和分层防御的研究.
- 在SIoT安全中检查区块链和AI/ML等突出的技术.
主要成果:
- 区块链和AI/ML是著名的解决方案,分别有50多篇和80多篇论文引用它们.
- 评估指标通常包括延迟,准确性,可扩展性和假阳性率.
- 现有的协议,攻击缓解和使用云计算和边缘计算的分散处理被突出显示.
结论:
- SIoT安全研究正在不断发展,越来越关注分散和透明的解决方案.
- 区块链和AI/ML对于应对SIoT安全挑战至关重要.
- 需要进一步的研究来加强SIoT的安全性和透明度,以实现强大的去中心化环境.
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