An efficient user verification system via mouse movements
An efficient user verification system via mouse movements
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DOI：
10.1145/2046707.2046725
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发表时间：
2011-10
期刊：
影响因子：
--
通讯作者：
Nan Zheng;Aaron Paloski;Haining Wang
中科院分区：
文献类型：
--
作者：
Nan Zheng;Aaron Paloski;Haining Wang
生物认证根据用户固有的、独特的特征-你是谁--来验证用户。除了生理生物识别外，行为生物识别已被证明在验证用户身份方面非常有用。老鼠的动力学，以及它们独特的老鼠运动模式，就是这样的行为生物测定。在本文中，我们提出了一种基于鼠标动态的用户验证系统，该系统既准确又高效，可供将来使用。我们系统的关键特征在于使用更细粒度(逐点)的基于角度的鼠标移动度量来进行用户验证。这些新指标因人而异，且独立于计算平台。此外，我们利用支持向量机(SVMs)进行准确和快速的分类。我们的技术在不同的操作平台上都是健壮的，不需要专门的硬件。通过一系列实验验证了该方法的有效性。实验结果表明，该系统能够准确、及时地对用户进行身份验证，并且系统开销较小。
Biometric authentication verifies a user based on its inherent, unique characteristics --- who you are. In addition to physiological biometrics, behavioral biometrics has proven very useful in authenticating a user. Mouse dynamics, with their unique patterns of mouse movements, is one such behavioral biometric. In this paper, we present a user verification system using mouse dynamics, which is both accurate and efficient enough for future usage. The key feature of our system lies in using much more fine-grained (point-by-point) angle-based metrics of mouse movements for user verification. These new metrics are relatively unique from person to person and independent of the computing platform. Moreover, we utilize support vector machines (SVMs) for accurate and fast classification. Our technique is robust across different operating platforms, and no specialized hardware is required. The efficacy of our approach is validated through a series of experiments. Our experimental results show that the proposed system can verify a user in an accurate and timely manner, and induced system overhead is minor.