Combined approach of tokenization and mining to secure and optimize big data in cloud storage

The era of technology is now shifting towards the Cloud Computing and today's computation tends to be provisioned as a service rather than a product. Recently Cloud Computing has become more portable and flexible in such way so that we call it having a super computer in our pockets. Despite the potential application of cloud computing, data security is still questionable in privacy issue due to insider threats and data breaches. After the internet of things (IoT) emerges, in Big data arena both data security and storage optimization at the same time has been a crying need. In this paper, we propose an enhanced framework of security model including tokenization with a view to eradicating the privacy issue of sensor data and ensuring storage optimization. Tokenization provides a wider range of security by protecting data from malicious insider threats or data breaches in cloud. Our proposed tokenization process optimizes cloud storage instances as well with a little prior mining in order to convert large data sets into small ones.