Towards Overcoming Limitations of Current Integrity Schemes in the Cloud Environment

Cloud computing offers services and utilizes a lot of resources that cannot be afforded by cloud clients due to its cost overhead, which resulted in them migrating their data to the cloud. With such migration, a lot of security challenges arises threatening their data. As data being remotely stored, modifications can be applied on it; by either the untrusted service provider or unauthorized users or even a malicious party. Clients need to verify that their data wasn’t tampered with while resting in the data centers. Over the years, many data integrity schemes have been proposed. This paper providers a qualitative analysis of those schemes. It also introduces Document Integrity Processor (DIP), which is a public auditability scheme that consists of two major autonomic agents that operates on document’s content to detect any changes in the document and so enhance the data integrity level. This scheme is the first to use QR codes as metadata; which decreases its size compared to the previous schemes. It also showed 100% alteration detection accuracy.