| 击键特征加强口令身份认证安全性的研究 |
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| 引用本文： | 郭海锋,许哲.击键特征加强口令身份认证安全性的研究[J].长春师范学院学报,2005(2). |
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| 作者姓名： | 郭海锋 许哲 |
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| 作者单位： | 延边大学理工学院计算机科学与技术系 吉林延吉133002
(郭海锋)，延边州公安局 吉林延吉133001(许哲) |
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| 摘 要： | 目前 ,绝大多数计算机系统的安全性都是通过口令保护机制实现的 ,但口令易被盗用 ,存在着安全隐患。为此本文提出了将传统的口令认证机制同用户输入口令时生成的击键特征相结合进行身份认证 ,以此来加强传统的口令认证方式的安全性。同时建立了 BP神经网络对此进行实验 ,并给出了实验结果。
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| 关 键 词： | 击键特征 神经网络 身份认证 |
Password Security Hardening Based on Keystroke Dynamics |
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| GUO Hai-feng ,XU Zhe.Password Security Hardening Based on Keystroke Dynamics[J].Journal of Changchun Teachers College,2005(2). |
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| Authors: | GUO Hai-feng XU Zhe |
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| Institution: | GUO Hai-feng 1,XU Zhe 2 |
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| Abstract: | Nowadays,the security of most computers is based on password. The drawb ack of the password is that it is easily given away. Therefore, we present an ap proach to improving the security of password. In our approach, the user's typing patterns are combined with the user's password to generate a hardened password. Also, a BP neural network is built for the experiment. |
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| Keywords: | keystroke dynamics neural network identity authentication |
| 本文献已被 CNKI 等数据库收录！ |
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