Cybersecurity for Industry 5.0: trends and gaps

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Název: Cybersecurity for Industry 5.0: trends and gaps
Autoři: Kour, Ravdeep, Karim, Ramin, Dersin, Pierre, Venkatesh, Naveen
Informace o vydavateli: Luleå tekniska universitet, Drift, underhåll och akustik 2024
Druh dokumentu: Electronic Resource
Abstrakt: Industry 5.0 promises to revolutionize the industry by focusing on human-centric, sustainability, and resilience empowered by emerging technologies such as Artificial Intelligence (AI) and digitalization. This paradigm shift is expected to bring significant advancements in sustainability, resilience, productivity, effectiveness, efficiency, customization, reliability, safety, security, maintainability etc. However, this shift of the industrial paradigm introduces substantial cybersecurity challenges due to the increased attack surface and data sensitivity. Therefore, the objective of this paper is to conduct a thorough literature review of the recent research on cybersecurity in Industry 5.0, highlighting emerging trends, gaps, and potential solutions. To conduct this research, the authors have applied the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to investigate cybersecurity solutions in Industry 5.0. The findings reveal that conceptual research dominates, with AI, Blockchain, and Internet of Things (IoT) most prevalent but highlights a gap in linking cybersecurity to resilience and sustainability. Furthermore, the paper aims to present trends in cybersecurity research with more relevant results from 2022 to 2024. It conducts a thorough review of the literature, highlighting the evolving landscape of cybersecurity applications in Industry 5.0.
Validerad;2024;Nivå 1;2024-08-16 (hanlid)
AI Factory
Témata: cybersecurity, Industry 5.0, human-centric, resilient, sustainable, Production Engineering, Human Work Science and Ergonomics, Produktionsteknik, arbetsvetenskap och ergonomi, Computer Systems, Datorsystem, Article, review/survey, info:eu-repo/semantics/article, text
DOI: 10.3389.fcomp.2024.1434436
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-108383
Frontiers in Computer Science, 2024, 6
Dostupnost: Open access content. Open access content
info:eu-repo/semantics/openAccess
Poznámka: application/pdf
English
Other Numbers: UPE oai:DiVA.org:ltu-108383
0000-0003-0734-0959
0000-0002-0055-2740
0000-0003-2268-5277
0000-0002-4034-8859
doi:10.3389/fcomp.2024.1434436
ISI:001286194300001
Scopus 2-s2.0-85200663002
1457590202
Přispívající zdroj: UPPSALA UNIV LIBR
From OAIster®, provided by the OCLC Cooperative.
Přístupové číslo: edsoai.on1457590202
Databáze: OAIster
Popis
Abstrakt:Industry 5.0 promises to revolutionize the industry by focusing on human-centric, sustainability, and resilience empowered by emerging technologies such as Artificial Intelligence (AI) and digitalization. This paradigm shift is expected to bring significant advancements in sustainability, resilience, productivity, effectiveness, efficiency, customization, reliability, safety, security, maintainability etc. However, this shift of the industrial paradigm introduces substantial cybersecurity challenges due to the increased attack surface and data sensitivity. Therefore, the objective of this paper is to conduct a thorough literature review of the recent research on cybersecurity in Industry 5.0, highlighting emerging trends, gaps, and potential solutions. To conduct this research, the authors have applied the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to investigate cybersecurity solutions in Industry 5.0. The findings reveal that conceptual research dominates, with AI, Blockchain, and Internet of Things (IoT) most prevalent but highlights a gap in linking cybersecurity to resilience and sustainability. Furthermore, the paper aims to present trends in cybersecurity research with more relevant results from 2022 to 2024. It conducts a thorough review of the literature, highlighting the evolving landscape of cybersecurity applications in Industry 5.0.<br />Validerad;2024;Nivå 1;2024-08-16 (hanlid)<br />AI Factory
DOI:10.3389.fcomp.2024.1434436