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Secure Outsourced Computation of Geometric Progression on Vicious Cloud

By: Goel, Gaurav.
Contributor(s): Sharma, Tejpal.
Publisher: New Dehli STM Journals 2019Edition: Vol.6(2), May-Aug.Description: 88-91p.Subject(s): Computer EngineeringOnline resources: Click here In: Journal of artificial intelligence research and advances (JoAIRA)Summary: Cloud Computing provides environment to individual, organization and business to store their sensitive data on cloud. One can store their data on cloud due to cost factor. But sometime data can be lost and leaked by suspicious data owner. Individual can also use cloud for platform purposes means cloud can also be used for computation purpose. Computation can be expensive on standalone desktop when resources are limited. In this paper, approach is using secure and efficient way of using malicious cloud for linear algebra computation of geometric progression. Time complexity to run geometric progression is O(n). Proposed approach will work to compute this linear algebra computation securely and efficiently on vicious cloud.
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Cloud Computing provides environment to individual, organization and business to store their sensitive data on cloud. One can store their data on cloud due to cost factor. But sometime data can be lost and leaked by suspicious data owner. Individual can also use cloud for platform purposes means cloud can also be used for computation purpose. Computation can be expensive on standalone desktop when resources are limited. In this paper, approach is using secure and efficient way of using malicious cloud for linear algebra computation of geometric progression. Time complexity to run geometric progression is O(n). Proposed approach will work to compute this linear algebra computation securely and efficiently on vicious cloud.

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