Remote Sensing Data as a Service in Hybrid Clouds: Security Challenges and Trusted Third Party Auditing Mechanisms

Abstract: Cloud Computing is the next generation platform to provide resources as the services to the end users. In this paper we present a service for Trusted Third party Auditing (TPA) mechanisms. Hybrid cloud connects the private and public clouds, and it is useful when the resource expansion is needed at the private cloud but if there are limitations, then the public clouds resources can be utilized. Here, we present such a model where the data is stored in the cloud storages, in the private cloud. In case of storage expansion, it is proposed to use the public cloud storages. Security is the major concern in the public clouds. The security issues for the data can be addressed using Auditing mechanisms. Here, we present such auditing model based on Merkle Hash Tree. Auditing mechanisms presents the results like data transfer, retrieval and searching mechanism without fully decrypting the data, as well to retain the data integrity, non-repudiation of the data.

Keywords: TPA, Merkle Hash Tree, Data Storage, Cloud Computing