Enabling Data Integrity Protection In Cloud Storage
Cloud computing is the aggregation of multiple computing services, storage, network resources into a single
entity called ”cloud” over the Internet. In cloud computing data security, integrity of data and access control are challenging
issues, these issues remain the primary source for adoption of cloud computing services Protection of outsourced data in
cloud storage becomes critical because of corruptions of data, enabling integrity protection, fault tolerance, and efficient
recovery for cloud storage becomes necessary. Codes which are regenerating of data provide fault tolerance by splitting data
across respective multiple servers, while concentrating on less repair traffic than traditional codes during failure recovery.
Therefore, remotely checking the integrity of data against corruptions and other issues under a real time cloud storage setting
is our problem of study. We practically design and implement data integrity protection (DIP) environment for a specific
recovering code, while at the same time we preserving the essential properties of fault tolerance and repair traffic saving.
Adversarial model is designed under a DIP scheme, and enables a user to conveniently verify the unity of random subsets of
outsourced data against general or destructive corruptions. We demonstrate that remote integrity checking can be
conveniently integrated into regenerated codes in practical implementation.
Keywords— DIP, repair traffic, integrity, fault tolerance.