Privacy Preserving and Dynamic Audit Service for Secure Cloud Storage
Jaaruti Patil, Sangita Santosh Chaudhari · 2018 International Conference on Smart City and Emerging Technology (ICSCET) · 2018
Cloud computing is a modern technology which is growing rapidly throughout the world. The users make use of cloud storage to save the data on cloud and that can be accessed from anywhere and anytime. But at the same time, user is mostly concerned about the validation of data which stored in the cloud. Therefore, to check the validation of data(auditing), an entity called Third Party Auditor (TPA) is used. There are various privacy preserving data auditing schemes which have their own benefits and limitations. Therefore, there is a need to develop auditing scheme which overcomes all these limitations of existing approaches. A new privacy preserving and dynamic public audit service for secure cloud storage is proposed which is secure and efficient to use. It consists of three key units: data owner, TPA, and cloud server. Data owner does several actions as piercing a file into blocks, encoding it, producing a hash value for each block, merging it, creating a signature on it and does dynamic data processes such as adding, modifying, deletion of data. TPA does validation of data while performing various activities such as producing hash value for encrypted blocks which is acknowledged from cloud server, merged them then generating new signature on this. after words, it matches both the signatures to check the correctness of information. Validation of data done either periodically or on user's demand. Cloud server saves the encoded blocks of file. The main objective is to develop an audit service which holds the abilities as privacy preserving, public auditing, data integrity along with privacy. Also, it must support batch auditing and dynamic data operations. Merkle Hash Tree is being utilized for indexing of encrypted data which efficiently allows to the update data dynamically while preserving data integrity.