A Survey – High Secured Data Transmission in Cloud Computing using Homomorphic Encryption

Lakshmi, T. S. and Jayamangala, H. (2025) A Survey – High Secured Data Transmission in Cloud Computing using Homomorphic Encryption. In: 2025 2nd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), Chennai, India.

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Abstract

Massive volumes of data are stored in a repository that is available online thanks to cloud computing. Cloud computing services are vulnerable to several security and privacy issues, particularly when it comes to key sharing. Therefore, it is imperative that security algorithms be improved. Concerns about confidentiality in third-party services, such as cloud computing, have grown significantly. The security aspect of cloud computing is a matter of great concern for both government agencies and the IT industry, as its applications range from the average person using a smartphone to major corporate entities. To reduce security concerns, the majority of users choose to save the sensitive data in an encrypted or non-original format in the cloud. However, the cloud must first decrypt the data in order to conduct any operation on it at the server. This operation may lead to difficult problems with the confidentiality and the security of sensitive data kept on the cloud. The present discourse introduces HE as a solution to cloud-related data privacy and confidentiality concerns. With HE, users can do calculations directly on the cypher text, producing an output that is not original but rather represents the results of operations performed on the plain text after it has been decrypted. PHE and FHE are the two main forms of HE. FHE is thought to be more effective and secure for use in outside party calculations since it benefits from both additive and multiplicative homomorphism.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science Engineering > Cloud Computing
Domains: Computer Science
Depositing User: Mr IR Admin
Date Deposited: 21 Aug 2025 04:26
Last Modified: 21 Aug 2025 04:26
URI: https://ir.vistas.ac.in/id/eprint/10159

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