A privacy-preserving storage security for spatial data in dynamics cloud environment

Cloud computing prevails over the entire world which makes the mankind to trust more on a number of online storage systems to back up data in which resources of the computing infrastructure are provided as services over the Internet gives an wherever, anytime access. Thus lot of complex data will be warehoused into the cloud, as promising as it is, this paradigm also brings forth many new challenges for data security and access control is maintained when users outsource complex data which are shared in the cloud servers, which are not placed in the same reliable domain as data owners. The user's data are stored and maintained with it concerns of security vulnerabilities for all the services. There is a research work being done to point out the issues with the service providers and cloud security. This paper provides a privacy-preserving data integrity protection by enabling public auditability for cloud storage with the help of the Third Party Auditor. Trappings a scalable framework that gives the construction of an interactive audit protocol to prevent the fraudulence of proves and the leakage of data in cloud storage is reduced. Thus it provides a lightweight, efficient and privacy-preserving auditing scheme which will also identifies the corrupted data. The problem of simultaneously achieving fine-grandness, scalability, and data confidentiality of access control actually still remains unresolved. The framework is based on an interactive PDP protocol that uses the challenge — response algorithms and a verification protocol. This supports dynamic operation that allows the granted users to perform insertion, deletion and updating. The protocol allows a Third party Auditor who works on behalf of the Data owner who has a large amount of data to be stored in the cloud. Hence cloud data is to manage or monitor the outsourced data. The tentative results show that the protocol is efficient, lightweight and privacy-preserving.