Policy Based Management in Autonomic Network Management

Abstract

Policy-based management could be a terribly effective methodology to guard sensitive info. However, the over claim of privileges is widespread in rising applications, together with mobile applications and social network services, as a result of the applications’ users concerned in policy administration have very little information of policy-based management. The over claim will be leveraged by malicious applications, then result in serious privacy leakages and loss. To resolve this issue, this paper proposes a completely unique policy administration mechanism, mentioned as cooperative policy administration CPA, to change the policy administration. In CPA, a policy administrator will talk to different similar policies to line up their own policies to guard privacy and different sensitive info. This paper formally defines controller and proposes its social control framework. What is more, to get similar policies additional effectively, that is that the key step of controller, a text mining-based similarity live methodology is conferred. We tend to valuate controller with the info of mechanical man applications and demonstrate that the text mining-based similarity live methodology is more practical in getting similar policies than the previous category-based methodology.