A Framework for Integrity Auditing & Secure Data De-Duplication in Cloud
K. Swathi, N. Kasiviswanath · International Journal of Innovative Research in Science Engineering and Technology · 2016
Cloud storage systems are becoming more attractive trend for outsourcing data to cloud service for storage, which is beneficial in sparing efforts on heavy data maintenance and management.As cloud computing becomes prevalent, because enormous amount of data is being stored on the cloud.However, rapid growth of ever increasing volume of data has raised many new challenges.Data de-duplication is one of significant data compression technique for eliminating duplicate copies of repeating data and has been widely adopted in cloud storage to reduce the amount of storage space and save upload bandwidth.To preserve the confidentiality of susceptible data while supporting de-duplication, the Content hash keying an encryption mechanism has been proposed to encrypt the data before outsourcing it to cloud storage.In this work, we review the issues of integrity auditing and secure data de-duplication.Specifically, we are focusing to achieve both data integrity and de-duplication in cloud, we come up with two secure systems, namely SecCloud and SecCloud+.SecCloud offers an auditing entity which maintains MapReduce cloud, assist clients to generate data tags before uploading as well as audit the integrity of data stored in the cloud.SecCloud+ is designed and motivated by the fact that clients always want to encrypt their data before uploading and authorize integrity auditing and secure de-duplication on encrypted data.