{"title":"Industry 4.0 data security: A cybersecurity frameworks review","authors":"Marion Toussaint , Sylvère Krima , Hervé Panetto","doi":"10.1016/j.jii.2024.100604","DOIUrl":null,"url":null,"abstract":"<div><p>As manufacturers are adopting data-driven decisions and processes, manufacturing is becoming more vulnerable to digital threats, making data security a major challenge for Industry 4.0. More specifically, data manipulation is considered a serious threat to organizations with significant and damaging consequences. Adopting a cybersecurity framework is essential to protect organizations against these cyber threats. These frameworks are often generic, unopinionated, and only provide high-level guidance for mitigating cyber risk. Our objective is to find a framework that offers a solid foundation we can customize to support our needs for addressing data manipulation risk. This paper aims to review cybersecurity frameworks and identify the most customizable, yet opinionated, option.</p></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"39 ","pages":"Article 100604"},"PeriodicalIF":10.4000,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2452414X24000487/pdfft?md5=597e8258e8883eb35bc444bd26ee2e60&pid=1-s2.0-S2452414X24000487-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Industrial Information Integration","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2452414X24000487","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
As manufacturers are adopting data-driven decisions and processes, manufacturing is becoming more vulnerable to digital threats, making data security a major challenge for Industry 4.0. More specifically, data manipulation is considered a serious threat to organizations with significant and damaging consequences. Adopting a cybersecurity framework is essential to protect organizations against these cyber threats. These frameworks are often generic, unopinionated, and only provide high-level guidance for mitigating cyber risk. Our objective is to find a framework that offers a solid foundation we can customize to support our needs for addressing data manipulation risk. This paper aims to review cybersecurity frameworks and identify the most customizable, yet opinionated, option.
期刊介绍：
The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization, covering not only hardware and software but also information integration. It serves as a platform for promoting advances in industrial information integration, addressing challenges, issues, and solutions in an interdisciplinary forum for researchers, practitioners, and policy makers.
The Journal of Industrial Information Integration welcomes papers on foundational, technical, and practical aspects of industrial information integration, emphasizing the complex and cross-disciplinary topics that arise in industrial integration. Techniques from mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management are crucial in this context.
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