Abstract:

We can classify data in three levels of confidentiality while storing and managing data in a centralized location : Level 1, Level 2 and Level 3. Level 1 refers to data that are critical and having higher level of confidentiality. Level 2 includes data that are important but are not critical in terms of confidentiality. The data identified in Level 3 are not important as well as critical and hence they are less confidential in an organization. Data having higher level confidentiality might be stored either in files or databases. When the Level 1 data are stored in files, they may be either in structured or unstructured format. Moreover, data stored in files are less secured compared to the data that stored in databases. Hence, we need a mechanism for storing the unstructured data in a structured format so that they can be stored in databases which results in secured storage and fast retrieval. Cloud computing follows the architecture of distributed computing in which data are not stored in one particular computer but distributed and stored in multiple computers that are running simultaneously at various data centers. And hence, data stored in a cloud environment are called distributed data, because they are stored and retrieved from distributed files and databases. In this paper, the authors proposed a framework for converting the data stored in text files into a table consisting of rows and columns of data so that the data can be stored safely as well as retrieved speedily. With the help of this proposed model textual data stored in text files can be stored as a collection of records or tuples in a table stored in a database on the cloud

Description:

Database Management System, Critical, Confidentiality, Structured Data, Unstructured Data, Distributed Data