A Decentralized Accountability Framework for Enhancing Secure Data Sharing Through ICM in Cloud
Dhanapal.R1, Tharageswari.K2, Karthik.S3
1Dhanapal.R, Assistant Professor, Department of Computer Science Engineering, Karpagam Academy of Higher Education, Coimbatore641021, Tamilnadu, India.
2Tharageswari.K, Assistant Professor, Department of Computer Science Engineering, Karpagam Academy of Higher Education, Coimbatore-641021, Tamilnadu, India.
3Karthik.S, Professor & Dean, Department of Computer Science and Engineering, SNS College of Technology, Coimbatore, Tamilnadu, India.
Manuscript received on 02 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 August 2019 | PP: 1505-1511 | Volume-8 Issue-10, August 2019 | Retrieval Number: J10260881019/19©BEIESP| DOI: 10.35940/ijitee.A1026.0881019
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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: The Cloud substitutes a computing criterion where shared configurable resources are afforded as an on-demand service over the Internet. Moreover, the cloud environment provides resources to the users on the basis of services like SaaS, PaaS and IaaS. Generally, a cloud can be referred as private cloud or public cloud. When a Cloud Service Provider (CSP) imposes upon public cloud resources to compile their private cloud, the result is demonstrated as a virtual private cloud. Private or public, the imperious intent of cloud computing is to provide simplistic, reliable usage of various computing resources. One of the significant features of cloud is that the outsourced data are accessed through any anonymous machines over the Internet. On the other hand, it creates an issue that user’s fear of unknown access of data, which can become a major difficulty to the wide implementation of cloud. In this paper, a decentralized accountability framework is developed to monitor the actual usage and access of the data that is shared on cloud. For that, a logging mechanism that includes authentication for each user to access the data has also been provided. Moreover, some procedures for providing the data under the control of data owner includes Integrity Checking Mechanism (ICM) have also been developed. The overall process strengthens the security constraints over cloud. And the experimental results reveal that the approach affords secure and scalable data sharing with reduced memory utilization and processing time.
Keywords: Cloud Computing, Accountability, Data sharing, Authentication, logging, ICM.
Scope of the Article: Patterns and Frameworks