JOURNAL ARTICLE

SECURED DATA STORAGE IN CLOUD USING HOMOMORPHIC ENCRYPTION

R KanagavalliVagdevi S

Year: 2019 Journal:   Zenodo (CERN European Organization for Nuclear Research)   Publisher: European Organization for Nuclear Research

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.

Keywords:
Homomorphic encryption Cloud computing Cloud storage Confidentiality Encryption Server Data integrity Byte

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Topics

Cloud Data Security Solutions
Physical Sciences →  Computer Science →  Information Systems
Big Data and Digital Economy
Physical Sciences →  Computer Science →  Information Systems
Cryptography and Data Security
Physical Sciences →  Computer Science →  Artificial Intelligence

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