The cloud storage advantages make more people to outsource the data in the cloud. Many sensitive information like hospital, banks, private and public organization information and many IOT information like traffic, sensor information are stored in the cloud and for accurate analysis there must be a guaranteed integrity. Unlike a local storage user have not a control in the cloud environment data and the user in the cloud are concerned about data integrity. In the existing auditing scheme have several problems like low efficiency at dynamic auditing, leakage of information and huge auditing cost. To overcome these difficulties a dynamic integrity auditing is proposed for privacy protection in cloud. Existing work allows the data integrity is verified without the control of the original data file. The verification that will done by trusted third party called as data auditing and the auditor is the third party. However, such methods have several drawbacks. A necessary authentication/authorization is miss between the cloud server and auditor and ‘auditing-as-a-service’ is at risk. The recent methods are based on BLS signature which supports full dynamic data update in fixed size data and supports only fixed size data which is called as coarse-grained updates. So, for each small updates the updating and re-computation of authenticator is needed for all the file block. It causes higher communication and storage overhead. In this paper a fine-grained update and fully supported authorized auditing is supported which reduces communication overheads while verifying small updates. The experimental result shows that the proposed scheme provides flexibility, security and lower overhead for a greater number of regular small updates which is in business transactions and social media.