基于区块链的零信任网络与联合转移学习,用于工业5.0中的物联网安全
Ankita Sharma1, Shalli Rani1, Wadii Boulila2
1Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India.
PloS one
|June 6, 2025
概括
本研究介绍了工业5.0物联网网络的新型安全框架,集成区块链,联合转移学习和零信任网络原则. 该框架增强了工业物联网环境的数据安全性和访问控制.
科学领域:
- 工业物联网安全 工业物联网安全
- 网络安全框架 网络安全框架
- 工业5.0 技术 技术
背景情况:
- 工业5.0强调人机协作,增加互连的工业物联网 (IIoT) 网络的复杂性和脆弱性.
- 保护这些IIoT网络免受不断变化的威胁仍然是一个重大挑战,阻碍了工业5.0的全部潜力.
研究的目的:
- 为工业5.0 IIoT网络提出和评估一个新的安全框架.
- 通过集成的先进技术,提高IIoT系统的安全性,隐私性和弹性.
- 解决分布式工业环境中数据安全,隐私和访问控制方面的挑战.
主要方法:
- 区块链的集成,用于安全的数据共享和模型更新保护.
- 实施联合转移学习,在分布式物联网设备上进行隐私保护模型培训.
- 采用零信任网络 (ZTN) 原则,对所有网络请求进行严格的,默认拒绝的访问控制和持续验证.
主要成果:
- 拟议的框架在保护工业5.0 IIoT网络方面表现强.
- 实验结果显示,准确度 (高达0.88),精度 (高达0.87),回忆 (高达0.86),F1分数 (高达0.86) 的显著改善.
- 该框架提供了一个可扩展和弹性解决方案,通过严格的测试证实了其有效性.
结论:
- 区块链,联合转移学习和ZTN的综合方法为提高工业5.0的IIoT安全提供了强大的解决方案.
- 该框架有效平衡数据安全,隐私保护和自适应性访问控制.
- 经过验证的性能指标证实了为下一代工业网络提出的安全框架的稳定性和适用性.
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