Paper Title
Integrity Auditing and Deduplication of Data in Cloud
Abstract
Cloud storage has been increasingly prevalent because of its advantages. Cloud storage services may be accessed
through a co-located Cloud computer service, a web service Application Programming Interface (API) or by applications
that utilize the API, such as Cloud desktop storage, a Cloud storage gateway or Web-based content management systems. In
this project, we encounter the problem of data integrity and data duplication. We aim at achieving both integrity auditing and
secure deduplication on Cloud. Integrity auditing system includes both storage space auditing and duplication auditing.
Auditing system performs Block Level Duplication (BLD) to check for duplication before uploading the file into the Cloud.
Integrity of the file can be known by checking the hash values, which ensures the security of the storage. The optimized
storage space can be achieved by the deduplication system