研究基于P2AEDR的网络安全保护技术,用于Power IoT和其他基于区块链的物联网架构的新低压控制场景
Weiwei Miao1, Xinjian Zhao1, Nianzhe Li2
1State Grid Jiangsu Electric Power Co., Ltd., Information & Telecommunication Branch; Nanjing 210024, China.
Sensors (Basel, Switzerland)
|November 9, 2024
概括
传统的电力系统安全是静态和手动的. 这项研究引入了一种动态的,人工智能驱动的保护模型 (P2AEDR),用于在不断发展的电网和物联网架构中提高安全性.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 网络安全 网络安全
背景情况:
- 传统的电力系统依赖于静态的,基于边界的安全性,对于现代的大规模,分布式能源和物联网集成来说是不够的.
- 用于修复漏洞和应对威胁的手动处理阻碍了在动态电网环境中的适应能力.
研究的目的:
- 为电力系统中的云边缘和云云互动提出一个动态网络安全综合保护模型 (P2AEDR).
- 增强内部防御能力,实现实时智能感知和电网安全自动响应.
- 解决在不断发展的电力基础设施中大规模终端访问和第三方聚合平台的安全需求.
主要方法:
- 开发P2AEDR模型,整合持续的信任评估和动态访问控制.
- 实施基于深度学习的动态信任评估算法,以精细化资源访问控制.
- 实验验证动态信任评估算法的性能.
主要成果:
- P2AEDR模型将电网安全从静态转变为动态,实时智能感知和自动响应.
- 提出的深度学习算法证明了良好的信任评估性能.
- 该研究证实了该模型在确保大规模终端访问和第三方平台方面的有效性.
结论:
- P2AEDR模型为现代电力系统和基于区块链的物联网架构中的动态安全提供了强大的解决方案.
- 动态信任评估算法增强了电网内的安全访问和资源利用.
- 这项研究有助于建立值得信赖的Power IoT生态系统.
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