{"title":"Lightweight public key infrastructure for the Internet of Things: A systematic literature review","authors":"Mohammed El-Hajj , Pim Beune","doi":"10.1016/j.jii.2024.100670","DOIUrl":null,"url":null,"abstract":"<div><p>The Internet of Things (IoT) has transformed everyday environments into interconnected cyber–physical systems, enabling automation and assistance for diverse applications such as home automation and disability support. However, IoT security remains a critical concern, particularly in the realm of Public Key Infrastructure (PKI). Traditional PKI solutions are often impractical for IoT devices due to their resource limitations, prompting the development of “lightweight” PKI solutions in recent academic research. This article presents a comprehensive Systematic Literature Review (SLR) focused on articles published between 2008 and 2022 that explore lightweight PKI solutions tailored for IoT. The review categorizes current trends, identifies challenges, and highlights potential opportunities in the field. Despite the promise of lightweight PKI for IoT, significant implementation barriers persist. The article concludes by outlining key steps for developing effective lightweight PKI solutions and offers practical recommendations to address these challenges.</p></div>","PeriodicalId":55975,"journal":{"name":"Journal of Industrial Information Integration","volume":"41 ","pages":"Article 100670"},"PeriodicalIF":10.4000,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2452414X24001158/pdfft?md5=40b4da94810e395a4ad8c9fa614ccc4f&pid=1-s2.0-S2452414X24001158-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/S2452414X24001158","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
The Internet of Things (IoT) has transformed everyday environments into interconnected cyber–physical systems, enabling automation and assistance for diverse applications such as home automation and disability support. However, IoT security remains a critical concern, particularly in the realm of Public Key Infrastructure (PKI). Traditional PKI solutions are often impractical for IoT devices due to their resource limitations, prompting the development of “lightweight” PKI solutions in recent academic research. This article presents a comprehensive Systematic Literature Review (SLR) focused on articles published between 2008 and 2022 that explore lightweight PKI solutions tailored for IoT. The review categorizes current trends, identifies challenges, and highlights potential opportunities in the field. Despite the promise of lightweight PKI for IoT, significant implementation barriers persist. The article concludes by outlining key steps for developing effective lightweight PKI solutions and offers practical recommendations to address these challenges.
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.