Main Article Content
Abstract
Policy-based management is a very efficient method to protect sensitive information. The over maintain of privileges is common in up-and-coming applications, including mobile applications and social network services. Because the applications’ users involved in policy administration have little knowledge of policy-based management. The over maintain can be leveraged by malicious applications, then lead to serious privacy leakages and financial loss. To solve this issue, in this project we propose a novel policy administration mechanism, referred to as Collaborative Policy Administration (CPA), to simplify the policy administration. In CPA, a policy administrator can refer their own polices and also refer other policy to build a new policy for maintain the data security. This project formally defines CPA and proposes its enforcement framework. We also to obtain similar policies more effectively, which are the key step of CPA, a text mining-based similarity measure method are presented.