关键词: 信息安全, 风险评估, 支持向量域描述, 最小包围超球, 空间位置

Abstract:

To solve the problems in information security risk assessment, such as inaccurate security classification and long assessment time, a risk assessment model of information security (RAMIS) is proposed based on Support Vector Domain Description (SVDD), and is called SVRAMIS for short. Firstly, SVDD is applied to obtain the minimal enclosing ball (MEB) of each class, and disconnect regions are obtained by the description boundary. Secondly, based on the information provided by the hypersphere centers and the hypersphere radius, the positions of the test samples are confirmed, so that corresponding discrimination rules can be adopted. Finally, numerical experiments on information security data demonstrate that, for various kernel functions, the proposed model can lead to high training and testing accuracies and short training time.

Key words: information security, risk assessment, SVDD, MEB, space position