首页> 外文会议>Science and Information Conference >Fuzzy matching engine for non-textual authentication: A case study
【24h】

Fuzzy matching engine for non-textual authentication: A case study

机译:用于非文本身份验证的模糊匹配引擎:一个案例研究

获取原文

摘要

The familiar paradigm of authentication by means of a textual username and password has been questioned for some years but it is only relatively recently, with the advent of technological advances in such areas as biometric and gesture recognition that truly alternative approaches to authentication have become feasible. The primary difference between nontextual methods and the classical approach to authentication is that the latter respond only to an exactly matching password while the former must respond to gestures that do not exactly match, but are sufficiently close to the stored prototype. Under this new constraint, the use of fuzzy logic appears to be an appropriate approach to authenticating a user. This paper describes a real application for logging into a secure system. A fuzzy matching algorithm was developed that matches gestures entered at the login prompt against previously registered gestures held in a database.
机译:通过文本用户名和密码进行身份验证的熟悉范式已经受到质疑,但是直到最近,随着生物识别和手势识别等领域技术的进步,真正替代身份验证的方法才变得可行。非文本方法与经典身份验证方法之间的主要区别在于,后者仅响应完全匹配的密码,而前者必须响应不完全匹配但与存储的原型足够接近的手势。在这种新的约束下,使用模糊逻辑似乎是验证用户身份的适当方法。本文介绍了用于登录安全系统的实际应用程序。开发了一种模糊匹配算法,可将在登录提示中输入的手势与数据库中保存的先前注册的手势进行匹配。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号