Secured Storage Path Using Cryptographic Virtual Mapping for Cloud Applications

Abstract

Cloud computing can be seen as a working model in an environment that provides cloud users with access to virtualized and configurable computing resources, which can be easily specified as a shared pool of services from the cloud service provider's paid to use applications. The cloud storage path service has gained greater appeal due to the amazing growth of digital data. Cloud users can be relieved from the local data storage path and maintenance burden using cloud storage path services. It has difficulty maintaining the secure storage path because of many security challenges of that system like the disruption of services, loss of privacy, etc., on the cloud's data storage path in the previous system. To overcome this drawback, this disclosure provides the proposed Cryptographic Virtual Mapping(CVM) system readable data for secure storage page mapping in a virtual mapping environment in cloud computing. Asymmetric Key Encryption Algorithm can be used for the encryption of massive data. This encryption process is less computationally expensive and consumes minimum time for performing the encryption and decryption of the cloud storage data. This method determines the propagation of data verification based cryptographic input data to decide the input key. The address is under a suspected control of a user of interest. The secure storage for dynamically changing data stored in the cloud is achieved using a well-known data structure called a linked list. This linked list is generated and maintained by the data owner. Using this solution, operations such as inserting, modifying, appending and deleting dynamic data are possible without downloading the entire data from the cloud server. The experimental results prove that the Cryptographic Virtual Mapping method has the highest probability of detecting damage or deformation of dynamically changing data.