A masking-based federated singular value decomposition method for anomaly detection in industrial internet of things

IF 1 4区计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Web and Grid Services Pub Date : 2023-01-01 DOI:10.1504/ijwgs.2023.133502

Olena Hordiichuk Bublivska, Halyna Beshley, Natalia Kryvinska, Mykola Beshley

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引用次数: 0

Abstract

The industrial internet of things (IIoT) is a flexible and scalable manufacturing system that can collect and analyse data from sensors based on machine learning, cloud, and edge computing. Recommendation systems can identify patterns in big data and reduce irrelevant data, with the singular value decomposition (SVD) algorithm being commonly used. Based on the found regularities in the data, it is possible to predict the most probable future events, such as emergency shutdowns of equipment, the occurrence of emergencies, etc. This paper explores the SVD method for anomaly detection in IIoT and proposes the federated singular value decomposition (FedSVD) method, which better protects large-scale IIoT data privacy. Results show FedSVD has greater accuracy and duration of calculations. A masking-based FedSVD method is proposed for anomaly detection and data protection. Choosing the optimal algorithm for IIoT and recommendation systems can automate the processing of critical parameters and improve efficiency.

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基于掩模的联邦奇异值分解方法在工业物联网异常检测中的应用

工业物联网(IIoT)是一种灵活且可扩展的制造系统，可以基于机器学习、云和边缘计算从传感器收集和分析数据。推荐系统可以识别大数据中的模式并减少不相关数据，常用的是奇异值分解(SVD)算法。根据数据中发现的规律，可以预测未来最可能发生的事件，如设备紧急停机、突发事件的发生等。本文探讨了用于工业物联网异常检测的奇异值分解(SVD)方法，提出了联邦奇异值分解(FedSVD)方法，更好地保护了大规模工业物联网数据隐私。结果表明，FedSVD具有较高的计算精度和持续时间。提出了一种基于掩码的FedSVD异常检测和数据保护方法。为工业物联网和推荐系统选择最优算法，可以实现关键参数处理的自动化，提高效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Web and Grid Services COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, SOFTWARE ENGINEERING

CiteScore

2.40

自引率

20.00%

发文量

审稿时长

12 months

期刊介绍： Web services are providing declarative interfaces to services offered by systems on the Internet, including messaging protocols, standard interfaces, directory services, as well as security layers, for efficient/effective business application integration. Grid computing has emerged as a global platform to support organisations for coordinated sharing of distributed data, applications, and processes. It has also started to leverage web services to define standard interfaces for business services. IJWGS addresses web and grid service technology, emphasising issues of architecture, implementation, and standardisation.