Abstract
Today’s organizations and individuals generate large volumes of data. Since they lack resources, the organizations and individuals outsource their data to remote storages such as cloud storages. The user has no control over the data, since it is outsourced to a remotely administered cloud server. The outsourced data may be corrupted or deleted, intentionally or unintentionally. The user should have some means of ensuring the correctness of the outsourced data. In order to verify the correctness of the outsourced data, an Enhanced Dynamic Remote Data Possession Checking (EDRDPC) protocol is proposed in this paper. This EDRDPC protocol avoids the need for accessing the entire data file for each verification by randomly sampling the data blocks during the verification process. The proposed protocol also supports unlimited number of integrity verifications and dynamic data operations. This protocol also supports public verifiability in which any authorized third party auditor can perform the data integrity verification. The performance analysis shows the efficiency of the proposed protocol in terms of computation, communication and storage overheads. The security analysis highlights a notable advantage of the proposed protocol in detecting server misbehavior.
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Pragathy, V.Y., Yamuna Devi, L. (2024). Enhanced Dynamic Remote Data Possession Checking Protocol with Unlimited Number of Verifications and Public Verifiability for Ensuring Cloud Data Integrity. In: Das, S., Saha, S., Coello, C.A.C., Rathore, H., Bansal, J.C. (eds) Advances in Data-Driven Computing and Intelligent Systems. ADCIS 2023. Lecture Notes in Networks and Systems, vol 890. Springer, Singapore. https://doi.org/10.1007/978-981-99-9531-8_15
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DOI: https://doi.org/10.1007/978-981-99-9531-8_15
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