Integrating Homomorphic Encryption in Cloud Computing for Enhanced Data Confidentiality

EasyChair Preprint 14055

Abstract

Cloud computing has revolutionized data management by offering scalable and cost-effective solutions for storing and processing vast amounts of information. However, ensuring data confidentiality remains a critical challenge due to the inherent risks of third-party data handling. Homomorphic encryption emerges as a promising technique to mitigate these risks by allowing computations on encrypted data without decrypting it first. This article explores the integration of homomorphic encryption in cloud computing environments, aiming to enhance data confidentiality while preserving computational privacy.

Beginning with a foundational explanation of homomorphic encryption, it delves into its various types, including partially and fully homomorphic schemes, elucidating their respective capabilities and limitations. The discussion extends to practical considerations such as integration into existing cloud infrastructures and comparative analyses with traditional encryption methods.

Keyphrases: Cloud Computing, Integrating, data confidentiality, homomorphic encryption

@booklet{EasyChair:14055,
  author    = {Adeyemi Martins},
  title     = {Integrating Homomorphic Encryption in Cloud Computing for Enhanced Data Confidentiality},
  howpublished = {EasyChair Preprint 14055},
  year      = {EasyChair, 2024}}