基于手机触摸屏传感器多点触摸身份认证算法

针对智能手机所面临的信息安全威胁问题,提出一种基于手机触摸屏传感器的多点触摸身份认证方法。首先由触摸屏传感器采集手指滑动原始数据序列,通过平滑去噪、位置及长度归一化预处理;然后提取手势运动一阶、二阶归一化导数序列及运动方向为身份验证特征序列;最后采用模板匹配方法,使用动态时间规整算法匹配比较注册模板特征序列与测试特征序列,判断用户身份真实性。仿真结果表明,所提算法对不同用户身份认证的平均错误拒绝率和错误接受率分别为3.83%和2.07%,与使用径向基函数为核函数的支持向量分布估计(SVDE)算法相比,平均错误拒绝率和错误接受率分别降低1.81%和2.35%。经性能分析,所提算法能明显提高身份认证的准确性。

Authentication algorithm of multi-touch based on mobile touch sensor

A multi-touch authentication method based on mobile touch sensor was proposed to solve the information security threats of smart phone. First, the original data sequences of finger sliding collected from a touch sensor were preprocessed through smooth denoising and normalizing the position and length. And then, the authentication feature sequences were extracted from the normalized first and second derivatives, and the direction of the preprocessed data sequences. Finally, the template matching method was adopted to judge the identity of user by using dynamic time warping algorithm to compare the registered temple feature sequences with the test feature sequences. The simulation results show that the proposed algorithm can reach 3.83% False Rejection Rate (FRR) and 2.07% False Acceptance Rate (FAR) in average for different users. Compared with Support Vector Distribution Estimation (SVDE) classifier with Radial Basis Function (RBF), the FRR and FAR of the proposed algorithm reduces 1.81% and 2.35% respectively. The performance analysis shows that the proposed algorithm can improve the accuracy of user authentication obviously.