Secure Auditing and Intelligent Compression in Cloud
Suzaifa1, Sareen Fathima2, Fathimath Kousar3, Mustafa Basthikodi4
1Suzaifa, PG Student, Bangalore Institute of Technology, Bangalore. India.
2Sareen Fathima, PG Student, Bangalore Institute of Technology, Bangalore. India.
3Fathimath Kousar, PG Student, Bangalore Institute of Technology, Bangalore. India.
4Mustafa Basthikodi, Professor, Bangalore Institute of Technology, Bangalore. India.
Manuscript received on 13 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript Published on 26 July 2019 | PP: 1164-1169 | Volume-8 Issue-6S4 April 2019 | Retrieval Number: F12410486S419/19©BEIESP | DOI: 10.35940/ijitee.F1241.0486S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: As the cloud computing technology develops throughout the decennary, externalising data to store using cloud resource becomes a trend, which is benefited in heavy data management and maintenance. Notwithstanding, since the externalized cloud depository is not fully reliable, while achieving integrity auditing it elevate security treat on how to realize single instance storage in cloud. In this work, we study the problem of integrity auditing and secure intelligent compression on cloud data. Peculiarly, directing at attaining both eliminating duplicate copies of repeating data i.e., secure deduplication and integrity of data in cloud, we propose an auditing entity with a perpetuation of a MapReduce cloud, which helps audit the integrity as well as uploading of data after clients generate data tags having been collected in cloud.
Keywords: Deduplicating Data in Cloud, Prevention of Duplication, Duplication of Data, Intelligent Compression, Integrity Auditing.
Scope of the Article: Evolutionary Computing and Intelligent Systems