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IJSTR >> Volume 9 - Issue 2, February 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Attribute Based De-Duplication Method

[Full Text]

 

AUTHOR(S)

Dinesh Mishra, Dr. Sanjeev Patwa

 

KEYWORDS

Attribute based deduplication, Content based deduplication, Deduplication, engine, Fast indexing , Heterogeneous contents, Storage optimization, Data compression .

 

ABSTRACT

In the current scenario huge amount of data will be generated from different sources for storage. Cloud is a cheapest source for such storage. Data may be of heterogeneous type and with different attributes. Duplicate data produces a problem for cloud service provider. Deduplication is a technique to provide optimal storage solution. Main challenges in deduplication are optimizing storage with reliability and accuracy along with reducing computation overhead and recoverability. The proposed research describes a framework to provide attribute based deduplication on cloud contents. Developed framework will provide attribute based deduplication on heterogeneous contents. System has been evaluated on various parameters like deduplication ratio, computation overhead etc.

 

REFERENCES

Z. Yan, X. Y. Li, M. J. Wang, A.V. Vasilakos, “Flexible data access control
based on trust and reputation in cloud computing,” IEEE Trans. Cloud
Comput., 2015. Doi: 10.1109/TCC.2015.2469662.
[2] Q. Liu, G. J. Wang, and J. Wu, "Consistency as a service: Auditing cloud
consistency" IEEE Trans. Netw. Serv. Manage., vol.11, no.1, pp. 25-35,
2014.
[3] Q. Duan, “Cloud service performance evaluation: Status, challenges, and
opportunities – A survey from the system modeling perspective”, Digital
Commun. Netw., Available online 23 December 2016, ISSN 2352-8648,
http://dx.doi.org/10.1016/j.dcan.2016.12.002.
[4] Q. Liu, C. C. Tan, J. Wu, and G. J. Wang, "Towards differential query
services in cost-efficient clouds," IEEE
[5] AndrejTolic, AndrejBrodnik, “Deduplication in unstructured-data
storage systems”, ELEKTROTEHNISKI VESTNIK 82(5): 233–242, 2015
[6] C.Policroniades and I.Pratt, “Alternatives for detecting redundancy in
storage systems data”, in Proceedingsof the General Track: 2004
USENIX Annual Technical Conference, 2004, pp. 73-86.
[7] Yukun Zhou, Dan Feng, Wen Xia, Min Fu, Fangting Huang, Yucheng
Zhang, Chunguang Li,“SecDep: A User-Aware Efficient Fine-Grained
Secure Deduplication Scheme with Multi-Level Key Management”,
IEEE Mass Storage Systems and Technologies (MSST) 2015 31st
Symposium, Year - 2013
[8] Sarah Prithvika P.C. , Ramani S. , Jakkulin Joshi J. and Sindhu K, “Data
Deduplication in Cloud Environment – A Survey”, International
Journal of Latest Engineering and Management Research (IJLEMR)
ISSN: 2455-4847 Volume 03 - Issue 01January 2018,PP. 44-49
[9] Qinlu He, Zhanhuai Li, Xiao Zhang, “Data De-duplication
Techniques”, International Conference on Future Information
Technology and Management Engineering, IEEE 2010
[10] Ravneet Kaur,Inderveer Chana, Jhilik Bhattacharya, “
Data deduplication techniques for efficient cloud storage
management: a systematic review”, Journal of Supercomputing,
Springer, May 2018, Volume 74, Issue 5, pp 2035–2085
[11] E. Manogar, S. Abirami, “A Study on Data Deduplication Techniques
for Optimized Storage”, 2014 Sixth International Conference on
Advanced Computing(lCoAC) IEEE
[12] Wen Xia, Hong Jiang, Dan Fen, “A Comprehensive Study of the Past,
Present, and Future of Data De-duplication”, Vol. 104, No. 9, IEEE
2016
[13] Yuan Zhang et al, “HealthDep: An Efficient and Secure
Deduplication Scheme for Cloud-Assisted eHealth Systems”,
Transactions on Industrial Informatics, IEEE 2018
[14] Bo Mao et al, “Leveraging Data Deduplication to Improve the
Performance of Primary Storage Systems in the Cloud” IEEE
TRANSACTIONS ON COMPUTERS, VOL. 65, NO. 6, JUNE 2016
[15] Nishant N.Pachpor et al, “Improving the Performance of System in
Cloud by Using Selective Deduplication”, ICECA, IEEE 2018
[16] Vidhya R et al, “Elimination of Redundant Data in Cloud with
Secured Access Control”, ICTACC.2017 IEEE
[17] Haonan Su et al, “An Efficient and Secure Deduplication Scheme
Based on Rabin Fingerprinting in Cloud Storage”, CSE-EUC.2017,
IEEE
[18] Jingwei Ma et al, “DedupeSwift: Object-oriented Storage System
based on Data Deduplication”, TrustCom, 2016 IEEE