通过基于物联网的ADP2S技术优化关键基础设施的数据隐私和安全措施
Zhenyu Xu1, Jinming Wang2, Shujuan Feng1
1Collage of Information Science and Technology, Zhejiang Shuren University, Hangzhou, 310015, China.
Scientific reports
|March 21, 2025
概括
本研究介绍了一种针对物联网 (IoT) 安全的调整数据保护与隐私计划 (ADP2S),利用爬行动物搜索优化算法来检测和减轻漏洞,减少数据丢失和复杂性.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 人工智能的人工智能
背景情况:
- 物联网 (IoT) 平台处理敏感数据,使他们容易受到安全风险的影响.
- 在物联网中保护用户数据隐私至关重要,但数据丢失和复杂性是重大挑战.
- 现有的安全措施经常与物联网环境的规模和动态性质作斗争.
研究的目的:
- 为增强物联网安全提出一个调整数据保护与隐私计划 (ADP2S).
- 为了利用一种新的爬行动物搜索优化算法来检测和缓解漏洞.
- 改善数据保护,隐私,并减少物联网应用程序中的操作复杂性.
主要方法:
- 实现了一种爬行动物搜索优化算法,模仿爬行动物狩猎行为,以发现漏洞.
- 开发一个安全方案 (ADP2S),在检测到漏洞时激活"爬行动物群".
- 集成圆曲线加密和双因素身份验证,以实现强大的用户和服务提供商身份验证.
主要成果:
- 拟议的ADP2S计划提高了违规发现和保护建议的分别为11.37%和8.04%.
- 在数据丢失 (6.58%),估计时间 (10.9%) 和复杂性 (11.21%) 方面实现了显著的减少.
- 该算法通过在候选人之间共享搜索位置来有效地合并勘探和开发阶段.
结论:
- 爬行动物搜索优化算法提供了一种有效的方法来增强物联网安全性和数据隐私.
- 在物联网环境中,ADP2S在减轻安全风险和操作挑战方面取得了显著的改进.
- 该方案提供了一个可扩展和高效的解决方案,用于保护共享物联网基础设施中的敏感数据.
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