Quantifiable Data Security Model for Cloud Computing Platform

Abstract

Whatever one public cloud, private cloud or a mixed cloud, the users lack of effective security quantifiable evaluation methods to grasp the security situation of its own information infrastructure on the whole. This paper provides a quantifiable security evaluation system for different clouds that can be accessed by consistent API. The evaluation system includes security scanning engine, security recovery engine, security quantifiable evaluation model, visual display module and etc. The security evaluation model composes of a set of evaluation elements corresponding different fields, such as computing, storage, network, maintenance, application security, and etc. In order to effectively manage the networks for administrators within limited time and energy, we are developing a hierarchical framework which detects the malicious attacks and prevent our data from that attack. Thus, in our application we are using two algorithms, firstly Intrusion Detection System (IDS) which is used to detect the attack and provide the information of the hacker to the administrator and the second algorithm used is named as Intrusion Prevention System (IPS) to prevent our data from the hacker. We are also going to retrieve the data which are changed by the hacker using support vector machine (SVM).