Security Measurement in Industrial IoT with Cloud Computing Perspective: Taxonomy, Issues, and Future Directions

• Published in: Scientific programming 2020, Vol.2020 (2020), p.1-31
• Main Authors: Khan, Muazzam A., Deng, Lianwen, Ali, Ihsan, Almogren, Ahmad, Khan, Mahnoor, Shah, Sahar, Luo, Heng
• Format: Article
• Language: English
• Subjects: Access control; Algorithms; Artificial intelligence; Classification; Cloud computing; Industrial applications; Internet of Things; Literature reviews; Privacy; Scientific papers; Security; Software services; Taxonomy
• ISSN: 1058-9244; 1875-919X
• DOI: 10.1155/2020/8871315

In recent years, cloud computing has gained massive popularity in information technology and the industrial Internet of things. It provides facilities to the users over the wireless channel. Many surveys have been carried out in cloud security and privacy. The existing survey papers do not specify the classifications on the basis of cloud computing components. Therefore, they fail to provide the techniques with their specialities as well as the previously available literature review is outdated. This paper presents the security for cloud computing models with a new aspect. Unlike the previously existing surveys, the literature review of this paper includes the latest research papers in the field of cloud security. Also, different classifications are made for cloud computing security on the basis of different cloud components that are used to secure the cloud models. Furthermore, a total of eleven (11) classifications are considered, which includes cloud components to secure the cloud systems. These classifications help the researchers to find out the desired technique used in a specific component to secure the cloud model. Moreover, the shortcoming of each component enables the researchers to design an optimal algorithm. Finally, future directions are given to highlight future research challenges that give paths to researchers.