Security Aware High Scalable paradigm for Data Deduplication in Big Data cloud computing Environments

Abstract

The challenge of data deduplication has piqued the interest of the research community in order to provide effective and efficient solutions for cloud data centres to remove bottlenecks caused by duplicate data on the exponential growth of outsourced data. An Imminent challenge is the presence of high redundant existence in the storage memory of the cloud environment. Traditional algorithm has been employed to mitigate the data duplication in the cloud environment but it is a daunting task since it requires an effective solution to manage the duplication in the application basis to eliminate the privacy violation on sensitive data. In order to tackle above mentioned issues, a new paradigm named as Security Aware High Scalable has been proposed on large scale computing data centres. Proposed method employed to secure the data Deduplication process using access control mechanism on data of the privileged authorities. Outsourced data will be in the form of encrypted files. Access control mechanism is provided to the secure authorities to conduct the data deduplication on the data that was outsourced. Access Control Mechanism is employed using encryption techniques. It uses randomised encryption that is convergent and stable distribution of ownership party keys to enable the cloud service provider to handle outsourced access to data even though control changes on a regular basis This prevents data from being leaked not just to to those who have had their rights removed who previously owned the data, but even to a degree trustworthy yet suspect server for cloud storage. Furthermore, the proposed technique protects integrity of data from attacks based on label inconsistencies. As a measure, the proposed technique has been modified that enhances security. The efficiency review reveals that the proposed system is nearly as successful as the existing ones, with just a small increase in computational overhead.