基于SVM算法的用户行为认证方法

为提高手机安全性，提出一种基于SVM的用户操作行为认证方法.通过监听手机触摸屏设备，持续获取用户操作时的滑动轨迹、接触面积等原始数据.设计用户行为特征提取算法以建立用户特征样本，经SVM算法加以训练形成用户行为特征模型；综合用户访问目标及历史认证结果采用不同认证策略，达到重点保护敏感数据，方便用户访问非敏感数据的效果.在Android系统环境下的实验验证表明，该方法具有良好的认证效果.

User Behavior Authentication Method Based on SVM Algorithm

In order to enhance security of the mobile phone, a method of user operation behavior authentication based on SVM is proposed. By monitoring the mobile phone touch screen device, continuous access to user operation when the sliding track, contact area and other raw data. The user behavior feature extraction algorithm is designed to establish the user characteristic sample, and the SVM algorithm is used to train the user behavior characteristic model. The user access goals and historical certification results are integrated with different authentication strategies to achieve key protection sensitive data to facilitate the user access to non-sensitive data. Experimental verification in the Android system environment shows that the method has a good authentication effect.