Enhancing Data Privacy in Cloud Computing through Homomorphic Encryption

Thesis Abstract

Abstract

The protection of sensitive data in cloud computing environments is of paramount importance due to the increasing prevalence of cyber threats and privacy concerns. This research focuses on the application of homomorphic encryption as a means to enhance data privacy in cloud computing. The study begins with a comprehensive review of data privacy challenges in cloud computing and the principles of homomorphic encryption. The methodology involves the analysis of data privacy requirements, selection and implementation of homomorphic encryption schemes, and the design and integration of homomorphic encryption for data privacy. The implementation phase includes the deployment of homomorphic encryption, evaluation of privacy-preserving techniques, and comparative analysis with conventional privacy methods. The study also addresses ethical considerations, regulatory compliance, and future research directions in homomorphic encryption for data privacy. The findings of this research provide insights into the potential of homomorphic encryption to significantly enhance data privacy in cloud computing, with implications for security, efficiency, and user acceptance.