An Effectual Homomorphic Tag Based Block for Dynamic Provable Data Possession Framework Based on Block Tagging the Cloud File
K. Kavitha1, M. Punithavalli2

1K. Kavitha, Assistant Professor, Department of Computer Science, Dr. G.R. Damodaran College of Science, Coimbatore (Tamil Nadu), India.
2Dr. M. Punithavalli, Professor, Department of Computer Applications, Bharathiar University, Coimbatore (Tamil Nadu), India.
Manuscript received on 20 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 773-782 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B11430782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1143.0782S319
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Abstract: Storing the data in cloud helps in satisfying the demand of data access at anyplace, anytime. In cloud storage, users authenticate whether the data has been stored to the cloud storage server correctly. In order to enhance the storage provision, an Effectual Homomorphic Tag based Block for Dynamic Provable Data Possession (EHTB-DPDP) framework has been designed. This framework checks for the data integrity in the cloud storage server. The existing PDP, DPDP schemes were analyzed and the drawbacks encountered in those systems have been reframed using the proposed methodology. The major benefit of the proposed EHTB-DPDP is that it offers an effectual dynamic provable data possession and data integrity. This scheme spotlights on the integrity of the remote data by reducing data storage space, so that users can retrieve data efficiently. This security enhancement is achieved by the block tagging methodology. In addition, converting the variable block size to the fixed block size using hash function is also investigated. The feasibility of the scheme is proved by aanlyzing the security and the performance.
Keywords: Cloud Storage, Effectual Homomorphic Tag based Block for Dynamic Provable Data Possession Possession, Homomorphic Hash Function, Data Possession, Tag Block.
Scope of the Article: Patterns and Frameworks