SECURE DATA CLASSIFICATION AND MOBILITY MODEL FOR CLOUD DATA GOVERNANCE

Abstract

In the digital era, cloud computing has emerged as a successful computing paradigm which proposes the on-demand delivery of IT resources such as: computing power, storage and database over the internet. The adoption of cloud computing has created operational and security challenges. Cloud data governance security checklist and parameter is an essential element for measuring the computing security in a cloud. It also helps to manage data with proper security measurements and identify the security requirements. Handling all data with the same level of security measurements is not a sustainable security solution. Data centric security solutions offer sensitivity based security requirements during the mobility of data. In this thesis, a fuzzy logic based data classification model has been proposed for security management and mobility that uses cloud data governance security parameters confidentiality, integrity and availability as an input features. In addition, this model automatically identifies the appropriate security algorithm on the basis of sensitivity level, i.e. confidential, sensitive and public classes. This integrated method of data classification and securing significantly improves cloud data mobility.