A New Method for Searching Keyword in Cloud Servers Using Anfis

Volume 11, Issue 4, pp 300 - 308 http://dx.doi.org/10.22436/jmcs.011.04.05

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Authors

Fatemeh Goli - Mirdamad Institute for Higher Education, Gorgan, Iran. Hossein Momeni - Golestan University, Gorgan, Iran. Ali Yavari - Sama technical and vocational training college, Islamic Azad University, Gorgan Branch, Gorgan, Iran.

Abstract

With the popularity of computing cloud in recent decade, sensitive information is stored in cloud systems. To protect the sensitive data before saving, cryptographic operation must be done. In cryptography with the traditional method the user can search its data with high security ability, but the disadvantage of this method is to enter the same items in data for searching. And there is not any virtual error for false type. This major weakness causes not to harmonize the alone mentioned method in searching on cloud servers. In this paper we solve the search problem of cloud encrypted words in light and fuzzy system with maintaining the data security. Its aim is to search in cases which there is not the user's possible errors be changed into the rules using a light and fuzzy network, and discussed with the use of neural network to learning the pattern of the server data, and when searching the network provides the closest option to the user. Our experimental results show that this method of diagnosis is above 90 percent in the scope of the written rules for fuzzy system.

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Keywords

• cloud computing
• fuzzy search
• neural search
• neuro-fuzzy
• cryptography

MSC

•  94A60

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