Exploring the Use of PHM for Software System Security and Resilience

被引:1
|
作者
Murthy, Rajesh
机构
来源
2023 IEEE INTERNATIONAL CONFERENCE ON PROGNOSTICS AND HEALTH MANAGEMENT, ICPHM | 2023年
关键词
resilience; observability; complexity; cybersecurity; governance; closed loop automation; SecDevOps;
D O I
10.1109/ICPHM57936.2023.10193932
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
With the confluence of Artificial Intelligence (AI), Big Data Analytics, smart sensors supplemented by internet of things (I0T) 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.
引用
收藏
页码:67 / 72
页数:6
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