alexa Usability Matrix On Dynamic Datasets For Cloud Storage Solution Framework
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

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Special Issue Article

Usability Matrix On Dynamic Datasets For Cloud Storage Solution Framework

Ms.S.Dharani, Ms.S.Shanthi
  1. PG Student, M.E (CSE), Valliammai Engineering College, Chennai, India
  2. Assistant Professor, Deapartment of CSE, Valliammai Engineering College, Chennai, India
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Abstract

Data security and privacy of data is one of the major concern in the cloud computing. To overcome this situation of information disclosure, a particular standard of encryption is done to the sensitive data before uploading onto the cloud servers. It becomes clear that, the plain text keyword search is not viable. In the existing system, third parties which have privilege over intermediate datasets are created in order to reduce the frequent access of data from cloud directly that increases the cost. The severity data’s in the intermediate sets are encrypted using homomorphism algorithm and least accessible data’s are hided. In turn, does not root the inference channel analysis. Identify the most frequent access data and less frequent access data and finding the possible solutions of encryption is the core concept discussed in the existing system. There is a serious flaw which deals with identifying the less access table Vs more frequent access table. The reason is the most frequent access table may have relation with some other table in the database and using those options; the most frequent access table can deduce with some other table and manipulate the data. In the proposed system, using the privacy leakage constrain column wise encryption has been done for unencrypted data’s in the intermediate dataset. And a concept encrypting the data thereby finding out reference attribute between data tables are achieved. In addition to the exceeding system, there is an automatic scheduling algorithm to maintain a log based tracking for frequent and un frequent usage of data under the time criteria.

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