A Effective De-duplication with Multitask Auditing Techniques scheme over the Big-data Storage in Cloud

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC).

Abstract

Cloud is the promising and upcoming technology in the current scenario, information security over cloud is another challenging task over it. De-duplication keeps copy duplicates of the information from being put away. Effective De duplication helps to use the cloud storage in a more efficient manner and also improves the bandwidth and storage space. The main aim of the proposed approach performs Effective De-duplication with Multitask Auditing over the Encrypted Big-data Storage in Cloud. To perform effective De-duplication and check data integrity proposed new well-organized InlineDedup with Auto Regressive Model for effective deduplication. The research work introduces Multitask Auditing techniques to solve multitasking auditing cloud computing environment. The main aim of proposed system is to efficiently solving the problem of data deduplication with data integrity problem in cloud computing .The result shows the proposed work outperforms than the existing approaches and improves the detection accuracy and better auditing performance.

References

[1] Praveen Kumar Premkamal1,2 · Syam Kumar Pasupuleti2 · Abhishek Kumar Singh3,2 · P. J. A. Alphonse1, “Enhanced attribute based access control with secure de-duplication for big data storage in cloud”, Peer-to-Peer Networking and Applications, 2020.

[2] Haifeng Li 1 , Caihui Lan 2,* , Xingbing Fu 3,4,5, , Caifen Wang 6 , Fagen Li 7 and He Guo 1,”Secure and Lightweight Fine-Grained Data Sharing Scheme for Mobile Cloud Computing”, sensors IEEE, 2020.
[3] Maria Roofina, “Attribute-Based Storage Supporting Secure De-duplication of Encrypted Data in Cloud”, International Journal of Engineering Research & Technology (IJERT), 2019.
[4] Zhu, Benjamin, Kai Li, and R. Hugo Patterson. "Avoiding the Disk Bottleneck in the Data Domain Deduplication File System." Fast. Vol. 8. 2018.
[5] Liu, Chuanyi, et al. "ADMAD: Application-Driven Metadata Aware De-duplication Archival Storage System." Storage Network Architecture and Parallel I/Os, 2008. SNAPI'08. Fifth IEEE International Workshop on. IEEE, 2018.
[6] M.SriRama Lakshmi Reddy, Dr. K.Rajendra Prasad, “A Survey on Secure Data De-Duplication in Cloud Storage ”, International Journal of Applied Engineering Research, 2018.
[7] Hui Cui, Robert H. Deng, Yingjiu Li, and Guowei Wu, “Attribute-Based Storage Supporting Secure De-duplication of Encrypted Data in Cloud”, IEEE, 2016.

Keywords

Auto Regressive Model, Cloud Computing, De-duplication, Auditing, Multitask.