基于SVM算法的移动智能终端安全等级分级模型

Intelligent Mobile Terminal Security Risk Classification based on SVM Algorithm

随着网络的普及与技术的进步,移动智能终端与互联网完美结合,使得人们越来越依赖移动智能终端。同时,移动智能终端也成为恶意攻击的主要目标。因此,评估移动智能终端的安全性能模型变得十分必要,尤其是建立移动智能终端安全性能的客观模型。利用支持向量机(SVM)分类算法建立移动智能终端安全等级分类的模型,能实现对移动智能终端安全等级的客观、准确分类,使用户更直观地了解自己的终端设备安全性能,从而满足用户对智能终端的安全需求。

With the progress of network and technology and the perfect combination of mobile intelligent terminal and internet, people are increasingly dependent on intelligent terminals. So, it is very necessary to have a model for assessing the security performance of mobile intelligent treminals, particularly to establish the objective model of the security performance of mobile intelligent terminal. A model based on SVM algorithm that classics intelligent terminal security risk is proposed, and it can implement objective and accurate classification of mobile intelligent terminal security level, that users could intuitively understand the intelligent mobile terminal security, thus meeting the security needs of their intelligent terminals.