Abstract
Cloud storage services offer all the users/clients to save any huge quantity of data and to access the data anytime from anywhere. Clients can edit or view their data anytime, but costing may be valid for whichever data they are using. In this paper, we introduce system to enable data replication, integrity checking, and data recovery on cloud data. This approach may increase the data integrity in the cloud-based storage. A hybrid approach using replication along with coding technique is used to tackle the reconstruction. Erasure coding of data is coupled with extra parity bits to reduce the reconstruction cost. This enables a reduction in reconstruction time while maintaining a reasonable storage overhead. Overall, our novel approach in the cloud storage is cost-effective as well as increasing the data integrity protection in the cloud storage.
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Sekaran, K., Seetharamulu, B., Kalaivani, J., Handaragall, V.C., Venkatesh, B. (2023). Data Integrity Protection Using Multi-level Reconstructive Error Data and Auditing for Cloud Storage. In: Bhateja, V., Carroll, F., Tavares, J.M.R.S., Sengar, S.S., Peer, P. (eds) Intelligent Data Engineering and Analytics. FICTA 2023. Smart Innovation, Systems and Technologies, vol 371. Springer, Singapore. https://doi.org/10.1007/978-981-99-6706-3_53
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DOI: https://doi.org/10.1007/978-981-99-6706-3_53
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