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基于流形学习的用户身份认证
引用本文:傅博,王晅,马建峰.基于流形学习的用户身份认证[J].计算机工程与应用,2007,43(4):128-130.
作者姓名:傅博  王晅  马建峰
作者单位:陕西师范大学物理学与信息技术学院,陕西师范大学物理学与信息技术学院,西安电子科技大学计算机网络信息与安全教育部重点实验室 西安710062,西安710062西安电子科技大学计算机网络信息与安全教育部重点实验室,西安710071,西安710071
基金项目:国家高技术研究发展计划(863计划)
摘    要:基于等距映射(ISOMAP)非性降维算法,提出了一种新的基于用户击键特征的用户身份认证算法.谊算法用测地距离代替传统的欧氏距离,作为样本向量之间的距离度量,在用户击键特征向量空间中挖掘嵌入的低维黎曼流形,进行用户识别。用采集到的1500个击键模式数据进行实验测试,结果表明,该文的算法性能优于现有的同类算法,其错误拒绝率(FRR)和错误通过率(FAR)分别是1.65%和O%,低于现有的同类算法。

关 键 词:等距映射  击键序列  聚类算法  流形学习
文章编号:1002-8331(2007)04-0128-03
修稿时间:2006-09

User authentication for host access security based on manifold learning
FU Bo,WANG Xuan,MA Jian-feng.User authentication for host access security based on manifold learning[J].Computer Engineering and Applications,2007,43(4):128-130.
Authors:FU Bo  WANG Xuan  MA Jian-feng
Affiliation:FU Bo,WANG Xuan,MA Jian-feng(1.College of Physics and Information Technology,Shaanxi Normal University,Xi' an 710062, China 2.The Key Lab of the Ministry of Education for Computer Networks and Information Security,Xidian University, Xi'an 710071, China)
Abstract:A new user authentication approach based on users' keystroke patterns using manifold learning is proposed.The proposed approach utilizes geodesic distance to denote the difference between sample vectors,and then uses a new nonlinear dimensionality reduction algorithm:isometric mapping(ISOMAP) to find intrinsic geometry structure hiding in users' keystroke patterns space.The performance of this approach is evaluated using 1 500 keystroke sequences,the experimental results show the superiority of this approach in terms of false reject rate(FRR) and false accept rate(FAR) compared with some recent existing methods,the FRR and FAR of the proposed approach is only 1.65% and 0% respectively.
Keywords:isometric mapping  keystroke sequence  clustering algorithm  manifold learning  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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