Proficient approaches for scalability and security in IoT through edge/fog/cloud computing: a survey

K. Suresh Kumar, A.S. Radhamani and S. Sundaresan

International Journal of Data Science, 2021, vol. 6, issue 1, 33-44

Abstract: Cloud computing has evolved to the extent of 5G and the Internet of Things (IoT). For data warehousing, cloud computing paves an essential role in processing and implementation. The security-related issues are identified when the information is stored in the cloud. Be involved in sorting and in preparing the data for data warehousing. Until information is encrypted, security questions are raised. Therefore, it has been determined that the cloud-accessible data is essentially unexploitable because of limitations such as bandwidth restrictions, inactivity, inadequate resources, and various security problems. Fog computing and edge computing are other means of resolving these types of problems. In this paper, the IoT secrecy is analysed using it along with edge/cloud/fog computing. The various algorithms used, objectives, the proposed methodologies and their advantages are discussed in this paper. This paper paves the way to an integrated system in which scalability and security are enhanced.

Keywords: IoT; Internet of Things; cloud computing; FOG computing; edge computing; RFID; BNA; broad network access; deep learning. (search for similar items in EconPapers)
Date: 2021
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