A Research Overview of Cloud Computing Data Transmission Security

Sujitha, S.J. and P, Tamilselvi (2023) A Research Overview of Cloud Computing Data Transmission Security. In: 2023 International Conference on Computer Science and Emerging Technologies (CSET), Bangalore, India.

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Abstract

The IT revolution known as cloud computing has enabled users to collectively utilize hardware and software, delivery of services, and data storage spaces through shared networks. Organizations and individuals alike benefit from the services offered by cloud storage providers because they can affordably store, transmit, and back up their ever-growing amounts of data on the cloud. Many sectors, including finance, healthcare, and education, are migrating to the cloud because of the cost-effectiveness of the services offered by the pay-as-you-go model, which is determined by the number of resources used. Data are susceptible to assault since all users on the network have equal access to transferring them. Data security in modern systems is almost entirely focused on protecting information when it is being stored in the cloud using internet security. Since data theft is a major issue, a system based on encrypted data transfers has been proposed. The authors suggest a method to increase system security during data transmission, which should make it more difficult for malicious actors to steal sensitive information. Adopting cloud computing is complicated by a number of research obstacles, including the need for a well-managed privacy, interoperability, and dependability. This study defines cloud computing, describes the many cloud models, and identifies the most pressing security concerns facing the cloud computing business today. In addition to analyzing the current state of cloud computing and its future prospects, this paper provides recommendations for service providers and businesses who want to increase their profitability via the use of cloud services despite the current economic downturn.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science Engineering > Big Data
Divisions: Computer Science Engineering
Depositing User: Mr IR Admin
Date Deposited: 21 Sep 2024 08:46
Last Modified: 21 Sep 2024 08:46
URI: https://ir.vistas.ac.in/id/eprint/6813

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