An Approach for Outsourced Big Data to Provide Security

Big data refers to the data that is regarded as by volume, velocity and variety. Spaced out from this it is also attributed to provide big value to the enterprise that harness big data in order to have full business intelligence. Cloud computing is the newly ongoing technology that provides source of huge computing sources in pay per use fashion. Cloud has positive enterprises to outsource big data as it can provide gainful services wanted. As cloud is increasingly used by data creators, it is essential to have privacy and security to be added to big data. Another reason for cause of concern is that the servers of cloud service providers are treated as unhealthy. Many researchers contributed towards providing techniques that can protect big data besides providing privacy. However, the existing research on big data privacy and security is not enough. There is room for further research to have a propose a approach in providing complete security to the outsourced data besides ensuring privacy of data owners. Towards, this research aims to propose and implement a skeleton that can have security and privacy mechanisms to ensure pool proof security to outsourced big data. The data changes are to be entertained in a secure environment. The proposed skeleton is expected to have a robust and scalable security and privacy mechanisms to provide to the needs of owners of big data.