A PARALLEL GRAPH MINING LIBRARY FOR JOINT CLOUD COMPUTING

SAJITHABANU S; G. Balamurugan; N.Balasubramanian; V.Santhosh Kumar

A PARALLEL GRAPH MINING LIBRARY FOR JOINT CLOUD COMPUTING

Authors: SAJITHABANU S, G. Balamurugan, N.Balasubramanian, V.Santhosh Kumar

Unique Paper ID: 167085
Volume: 11
Issue: 3
PageNo: 159-163

Keywords: Cloud security system Fog Computing Hash-Solomn code.

Abstract:
Recent years witness the development of cloud computing technology. With the explosive growth of unstructured data, cloud storage technology gets more attention and better development. However, in current storage schema, user's data is totally stored in cloud servers. In other words, users lose their right of control on data and face privacy leakage risk. Traditional privacy protection schemes are usually based on encryption technology, but these kinds of methods cannot effectively resist attack from the inside of cloud server. In order to solve this problem, we propose a three-layer storage framework based on fog computing. The proposed framework can both take full advantage of cloud storage and protect the privacy of data. Besides, Hash-Solomon code algorithm is designed to divide data into different parts. Then, we can put a small part of data in local machine and fog server in order to protect the privacy. Moreover, based on computational intelligence, this algorithm can compute the distribution proportion stored in cloud, fog, and local machine, respectively. Through the theoretical safety analysis and experimental evaluation, the feasibility of our scheme has been validated, which is really a powerful supplement to existing cloud storage scheme.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 3
PageNo: 159-163

A PARALLEL GRAPH MINING LIBRARY FOR JOINT CLOUD COMPUTING

Available:https://ijirt.org/Article?manuscript=167085

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