基于多传感器信息融合的用户认证方法

User Authentication Scheme Based on Multi-Sensor Information Fusion

为了保证智能手机的信息安全,提出一种多传感器信息融合的手机用户身份认证方法。首先从手机用户操作手势的姿态角变化、运动幅度以及旋转程度等方面提取信号特征,然后分别以三类单特征的动态时间规整识别结果作为独立证据构造基本概率分配函数,进而采用Dempster/Shafer证据理论对其进行融合。为缓解证据间出现的冲突,避免其影响融合效果,引入加权证据方法。通过计算各证据之间的相似性来衡量证据间的冲突程度进而确定各证据的可信度,并且对各证据进行加权修正以降低可信度小的证据对融合结果的影响,最后根据融合结果做出决策。仿真结果表明,该算法性能优于对比算法,能有效对手机用户进行身份识别。

In order to guarantee the information security of the mobile phone, a user identity authentication scheme based on multi-sensor information fusion is proposed. Firstly, the signal features are extracted from the attitude angle changes, range of motion, and the rotation degree of user＇s gesture. Then the dynamic time warping（DTW） recognition results of each single feature are used as independent evidence to construct the basic probability distribution function, respectively. And the Dempster/Shafer evidence theory is used for decision fusion. Also, a weighted evidence method is introduced in this work to alleviate conflict among the evidences, which can avoid the negative impact of this phenomenon. The conflict degrees between each pair of evidences are measured by calculating the similarity between them, by which the evidence credibility is determined. Afterwards, the evidence weights are revised to depress the negative effects of the evidences with low credibility when making the fusion process. Hence the final decision can be made according to the fusion result. The simulation results show that the performance of the proposed algorithm is better than the compared algorithms, which can effectively recognize the user＇s identity of mobile phone.