A Powerful Trıple Layer Prıvacy Protectıon Model For Cloud Data Storage Usıng Fog Computıng

Abstract

Recent years storing and retrieving of the data is done by using cloud storage technology. Generally in cloud technology the user’s put their data in cloud servers in an unstructured format, there is a chance of leakage of data. The traditional schemes whatever used in cloud storage to preserve the data are generally used encryption scheme, but these methods or schemes cannot effectively work against from the attacks in cloud server. To get rid of this issue, an effort is made to develop a three-layer storage framework also called as TLS scheme based on fog computing. The method we have proposed here can take the advantage of cloud technology in terms of both information stored in cloud and provide the security to the data that has been stored in cloud (Privacy protection). The storage and confidentiality of the data takes place on the cloud server, the fog server and the local machine, respectively. Here the Hash-Solomon code algorithm is proposed to split or break down the entire data into individual small particles and place the pieces of data on the local machine and fog server for privacy protection. The distribution proportion and partition of data is done into three parts of data by this algorithm. The feasibility of TLS scheme is validated by means of theoretical safety analysis and experimental evaluation, which is an extension or implementation to the existing cloud technology. Which means that the user’s data can be protected more securely than cloud storage in this framework.