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Heuristic Auditing Strategy for Cloud Consistency
| Content Provider | Semantic Scholar |
|---|---|
| Author | Siddaraju Yogesh, Khadtare |
| Copyright Year | 2015 |
| Abstract | In this work we provide Data Integrity verification and consistency services for different data storage systems in cloud by supporting public auditability and data dynamics. These two components are integrated to solve internal and external threats for data security. Consistency is the property that guarantees that all parties interested in a given piece of information get updated each time it changes. In the context of massive distributed systems that now operate on a world scale, and looking into cloud computing in particular, consistency needs and integrity of data to be traded for decision support activity and get efficient item set result based on the caas. In this paper we discuss on whether cloud provides promised level of consistency or not, local and global auditing mechanisms are used for ordering operations and heuristic auditing strategy (HAS) to reveal as many violations possible and quantify them and enable to maintain data integrity proof by read and write permission that are provided by data owner to the data consumer (end user) for accessing the cloud storage system. The data owner can also audit the data integrity in the corresponding cloud for verifying whether the data is safe or not. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.gsd.inesc-id.pt/~lveiga/papers/IJSETR-VOL-4-ISSUE-5-1446-1453.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
