Secured Data Storage in Cloud Using Homomorphic Encryption

Abstract

Cloud data storage is a model of data storage where data in its digital form is stored in logical pools across the physical storage which is distributed across multiple servers usually in diverse locations. The full physical environment is owned and managed by an organization called Cloud Service Provider (CSP). In this type of storage, the data is distributed and owned by third party, and there is risk of unauthorized access. This makes security, reliability, confidentiality and privacy of data more important when storage in cloud is thought of. Although there are methods available for providing security, much work is not done with emphasis on dynamic nature of the data. Hence securing the data while updating becomes important. In this paper, a method that ensures confidentiality of data stored in cloud using homomorphic encryption is presented. The paper also provides a technique to ensure confidentiality during data updates in cloud. The presented method includes byte level automorphism for ensuring data integrity and confidentiality. The tabulated experimental results show that the proposed method provides more secure frame work for ensuring confidentiality and integrity of data in cloud.

Secure Token–Key Implications in an Enterprise Multi-Tenancy Environment Using BGV–EHC Hybrid Homomorphic Encryption

“…Some researchers integrated ciphertext policy attribute-based encryption (CP-ABE) [14,15]. Others used proxy re-encryption, key policy attribute-based encryption (KP-ABE) [16], a JSON-based model with HTTPS/TLS transmission [17], an SLA-oriented multi-tenant hybrid scheme [18], a fully homomorphic encryption scheme such as the enhanced algebra homomorphic encryption (AHEE) scheme [19] or a, non-interactive exponential homomorphic encryption algorithm [20]. Some researchers used validation-and verification-based models for data access and control among the various supportive tenants [15,21].…”