Remote Data Integrity Checking in Cloud Storage

Abstract

As an important application in cloud computing, cloud storage provides data users flexible, scalable and high-quality data computation and storage services. A large number of data users opt to outsource their data files to the cloud storage. Because cloud storage services are not completely reliable, data users require trusty means to check the possession for their data files deployed to remote cloud servers. To overcome this critical issue, a few remote data integrity checking protocols have been presented. But many existing schemes have drawbacks in data dynamics or efficiency. So a new efficient remote data integrity checking protocol based on homomorphic hash function has been developed. The new scheme is certainly safe against replacing attack, replay attack and forgery attack based on a typical security model. To brace data dynamics like inertion, updation or deletion operations on file blocks, an operation record table is included to trace functions on data blocks, and also makes the cost of accessing operation record table almost less or firm. Prototype implementation shows that the scheme is beneficial for  realworld applications.