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Data Integrity, Data Privacy and Data Confidentiality Issues in Multi-User Cloud
K Priyadharshini1, R Aroul Canessane2

1K Priyadharshini*, Research Scholar, Sathyabama Institute of Science and Technology (Deemed to be university), Chennai, India.
2R Aroul Canessane, Professor, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology (Deemed to be university), Chennai, India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 1705-1708 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8421088619/2019©BEIESP | DOI: 10.35940/ijeat.F8421.088619
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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: Cloud computing was one of the most significant computational models that help to handle the vast amount of data in a flexible and secure environment. In the current scenario, the amount of data being shared and the number of users or group in the cloud has been continuously increasing. The rise in the usage of the clouds had instigated the need to provide the security to the data that were transmitted among the user and owner through a cloud server. The data in the cloud most commonly endure in issues related to the integrity, privacy, and confidentiality (IPC). This paper was the accumulation of extensive research works to resist the issues in the clouds. Many researchers had indulged in the process of enhancing the security of the cloud data by generating the keys, performing the cryptic mechanisms, auditing, de-duplication techniques, enhancement in handling the queries and many more approaches. The outcomes from the some works are discussed with other approaches to understand the objective accomplished by each work over the other. The general IPC issue and challenges exist in the cloud environment were listed and it was identified that there is a necessity for the better methodology to accomplish the robust cloud environment.
Keywords: Cloud Computing, Data Security, Data Integrity, Data Privacy, Data Confidentiality.