探索PHM在软件系统安全性和弹性中的应用

Rajesh Murthy
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引用次数: 0

摘要

随着人工智能(AI)、大数据分析、以物联网(IOT)技术为补充的智能传感器、5G和雾/边缘智能为安全可靠的企业解决方案的融合,软件系统的复杂性越来越高。随着日益增长的网络威胁和复杂性,需要一个安全和弹性的框架来确保持续可靠的系统运行。在本文中,我们使用具有机器学习和数据管理操作(DataOps)的极简潜在整体PHM端到端架构来探索弹性、安全性和相关功能的概念。最后提出了新兴技术在系统弹性和安全性方面的潜在方向和影响。在本文中,数据和信号可以互换使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the Use of PHM for Software System Security and Resilience
With the confluence of Artificial Intelligence (AI), Big Data Analytics, smart sensors supplemented by internet of things (IOT) technologies, 5G and fog/edge intelligence for secure and reliable enterprise solutions, software systems are increasing in complexity. With growing cyber threats and complexity, there is a need for a secure and resilience framework to ensure continuous and reliable system operations. In this paper, we explore the concepts of resilience, security, and associated capabilities using a minimalist potential holistic PHM end to end architecture with machine learning and data management operations (DataOps). The paper concludes with potential directions and impacts of emerging technologies in system resilience and security. Data and signal are used interchangeably in this paper.
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