Enhanced P-gene based data hiding for data security in cloud

Abstract

The advent of cloud computing has revolutionized the option of sharing cloud resources among the cloud users for minimizing the cost overhead. The problem of data privacy and security needs to be addressed efficiently to fully utilize the power of cloud database services. Cloud data security is considered as a predominant issue that need to be addressed through the implementation of privacy preserving approaches that sustains and prevents the cloud resources and users from being compromised by the malicious intruders. Most of the proposed works for data hiding in cloud rely on the standard encryption techniques and steganography algorithms which have an overload of key distribution and secret key sharing. Hence these algorithms are not applicable to applications that require data hiding techniques with a faster computational time. In this regard, we propose an Enhanced Privacy preserving gene based data Aggregation Scheme (EPAS) for securing and exchanging private data by utilizing Enhanced P-Gene erasable data hiding approach. EPAS incorporates the benefits of the P-Gene which is responsible in the cloud space for providing security for the stored and private data in the cloud that are periodically exchanged with the clients of the cloud environment. Enhanced P-Gene scheme ensures secure sharing of data by relying on a trustworthy data aggregation scheme which is fully dependent on erasable data hiding technique.