DATA CLASSIFICATION AND ENCRYPTION SKELETON TO UPGRADE SECURITY IN CLOUD STORAGE

In cloud computing scenario, data is stored on third party servers and approached through online. Rising in volume of sensitive data leads to more focus on storing and retrieving the data securely. Data may contain official documents, personal data and financial information. Applying cloud services supports for reliability, mobility and unlimited storage capacity. As of now, users of cloud have their security and privacy related problems because of loss of control and unauthorized access about their outsourced data. Existing solutions for this problem is to encrypt the entire data without considering its security needs which in turn increases the processing time. In this research a secured cloud computing model is proposed based on data classification. This model ensures reduced processing time and different level of security. This technique prevents the data loss too because after classification it is very difficult to find the starting and ending position of data. It is also tedious to hack multiple storage compared to a single. This model encrypts data based on its sensitivity by using different encryption algorithms and the results proved the efficiency of the proposed model