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.2023.10059066

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

引用次数: 0

查看原文本刊更多论文

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

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

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.