An Enhancing Data Security in Multi-Cloud Settings with Homomorphic Encryption: Concepts, Uses, and Obstacles

Abstract

Homomorphic encryption allows calculations on encrypted data without requiring decryption; it offers a revolutionary approach to data security in multi-cloud contexts. This paper explores the theory, applications, and difficulties of homomorphic encryption in relation to cloud computing, emphasising the technology's potential to enhance data security and privacy. The benefits and drawbacks of fully homomorphic encryption (FHE) and partially homomorphic encryption (PHE) are covered. The practical uses of homomorphic encryption in multi-cloud scenarios—including secure data analysis, cooperative computing, and machine learning model training—are covered in this work. The research covers computational overhead, enhanced key management, and interoperability with existing cloud infrastructures in addition to these crucial topics. Further research directions are offered to solve these challenges and improve the capabilities of homomorphic encryption. These include of improving FHE algorithms, accelerating critical administration processes, and looking into new uses in multi-cloud environments. Homomorphic encryption has the potential to revolutionise data security in multi-cloud environments and enable secure and confidential computing on dispersed cloud infrastructures.