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相关概念视频

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
129

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相关实验视频

Updated: Jul 19, 2025

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
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罗神经网络用于基于部分密码的按键动态身份验证.

Kamila Lis1, Ewa Niewiadomska-Szynkiewicz2, Katarzyna Dziewulska1

  • 1Research and Academic Computer Network, Kolska 12, 01-045 Warsaw, Poland.

Sensors (Basel, Switzerland)
|August 12, 2023
PubMed
概括

这项研究通过使用打字模式 (键盘键盘动态) 来进行部分密码身份验证来提高计算机安全性. 这种方法在没有额外步骤的情况下验证用户,提高了登录安全性和用户信心.

关键词:
行为生物识别.键盘 键盘 键盘 键盘 键盘按键的动态 按键的动态部分密码身份验证 部分密码身份验证西安网络的西安网络.

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科学领域:

  • 计算机科学 计算机科学
  • 网络安全 网络安全
  • 生物识别信息 生物识别信息

背景情况:

  • 多因素认证通过使用多个识别机制来增强计算机系统的安全性.
  • 行为生物识别,如打字模式,提供不引人注目的用户验证,以提高登录安全性.

研究的目的:

  • 调查使用部分密码输入动态来加强用户身份验证的可行性.
  • 评估按键动态是否可以有效地用于基于部分密码输入的用户验证.

主要方法:

  • 一个罗神经网络被用于n-shot分类.
  • 用户身份通过使用从静态文本,特别是部分密码输入模式衍生的键盘键盘动态来验证.
  • 对实验结果进行了分析,这些实验结果来自现实世界的数据.

主要成果:

  • 对部分密码输入模式的键键动态身份验证证明成功.
  • 拟议的方法在基于打字行为验证用户身份方面表现出有效性.
  • 实验结果验证了使用真实数据的方法.

结论:

  • 按键动态认证是增强部分密码安全性的可行方法.
  • 这项研究支持将行为生物识别集成到基本的身份验证过程中.
  • 这些发现表明,有可能提高用户对身份验证系统的信心.