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An Effective Pseudonym-based Privacy Preservation Mechanism for Securing Services in Cloud Computing Environment |
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PP: 221-229 |
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doi:10.18576/amis/13S123
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Author(s) |
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S. Bhaggiaraj,
V. Sumathy,
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Abstract |
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| The cloud computing environment facilitates diversified number of potential services to its users such as the utilization- based pricing that is, every cloud provider has its own pricing scheme, on-demand service utilization and risk transference during the process of resource sharing. However, the security to cloud services during the event of data sharing is considered as the crucial task. In this paper, an Effective Pseudonym-based Privacy Preservation Mechanism (EP-PPM) is proposed for facilitating significant data sharing using the method of erasable data hiding. This EP-PPM approach utilizes the benefits of the P-Gene for hiding the data in order to prevent the overhead occuring during the process of data exchange provisioned between the cloud servers and its users. This EP-PPM scheme ensures secureness to the cloud services by periodic updating of pseudonym based on bilinear maps, that is shared between the interacting entities of the cloud environment. The simulation experiments and investigations of the proposed EP-PPM scheme evaluated, using the pseudonym generation and verification cost occuring in the process of securing cloud services, confirm a predominant improvement over the benchmarked security approaches of the literature. The percentage of privacy-preservation is calculated based on number of cloud service. As compared to the proposed EP-PPM scheme with existing IPN-PPM, P2E-CDSS and RDIC-PPM methods, the proposed method achieves the best results.
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