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Security issues and challenges in cloud of things-based applications for industrial automation.
Pandey, Neeraj Kumar; Kumar, Krishna; Saini, Gaurav; Mishra, Amit Kumar.
Afiliação
  • Pandey NK; School of Computing, DIT University, 248009 Dehradun, India.
  • Kumar K; Department of Hydro and Renewable Energy, Indian Institute of Technology, 247667 Roorkee, India.
  • Saini G; Department of Mechanical Engineering, Harcourt Butler Technical University, 208002 Kanpur, India.
  • Mishra AK; Department of CSE, Graphic Era Hill University, 248002 Dehradun, India.
Ann Oper Res ; : 1-20, 2023 Mar 21.
Article em En | MEDLINE | ID: mdl-37361100
ABSTRACT
Due to the COVID-19 outbreak, industries have gained a thrust on contactless processing for computing technologies and industrial automation. Cloud of Things (CoT) is one of the emerging computing technologies for such applications. CoT combines the most emerging cloud computing and the Internet of Things. The development in industrial automation made them highly interdependent because the cloud computing works like a backbone in IoT technology. This supports the data storage, analytics, processing, commercial application development, deployment, and security compliances. Now amalgamation of cloud technologies with IoT is making utilities more useful, smart, service-oriented, and secure application for sustainable development of industrial processes. As the pandemic has increased access to computing utilities remotely, cyber-attacks have been increased exponentially. This paper reviews the CoT's contribution to industrial automation and the various security features provided by different tools and applications used for the circular economy. The in-depth analysis of security threats, availability of different features corresponding the security issues in traditional and non-traditional CoT platforms used in industrial automation have been analysed. The security issues and challenges faced by IIoT and AIoT in industrial automation have also been addressed.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article