首页 | 本学科首页   官方微博 | 高级检索  
     

基于RBF神经网络的一次性口令认证方案
引用本文:方俊,赵英良. 基于RBF神经网络的一次性口令认证方案[J]. 计算机工程, 2011, 37(9): 157-159. DOI: 10.3969/j.issn.1000-3428.2011.09.054
作者姓名:方俊  赵英良
作者单位:1. 浙江越秀外国语学院经济管理学院,浙江,绍兴,312000
2. 西安交通大学电子与信息工程学院,西安,710049
摘    要:分析S/KEY一次性口令方案中存在的缺陷,在对其进行改进的基础上提出一种基于RBF神经网络的一次性口令认证方案。该方案增加系统的安全性,实现客户端和服务器端的相互认证、服务器端敏感信息的安全存储和每次认证产生不同的会话密钥。安全性分析表明,该方案认证过程可降低运算复杂度和提高执行效率。

关 键 词:一次性口令  Hash函数  RBF神经网络  挑战/响应

One-time Password Authentication Scheme Based on RBF Neural Network
FANG Jun,ZHAO Ying-liang. One-time Password Authentication Scheme Based on RBF Neural Network[J]. Computer Engineering, 2011, 37(9): 157-159. DOI: 10.3969/j.issn.1000-3428.2011.09.054
Authors:FANG Jun  ZHAO Ying-liang
Affiliation:1.School of Economics and Management,Zhejiang Yuexiu University of Foreign Languages,Shaoxing 312000,China;2.School of Electronic and Information Engineering,Xi’an Jiaotong University,Xi’an 710049,China)
Abstract:This paper analyses one-time password authentication methods of the S/KEY and points out some shortcomings.Some improvement is made and RBF neural network one-time password authentication scheme is put forward.It strengthens system safety,achieves mutual authentication between the client-side and server-side,safely stores sensitive information in server-side and produces different session key in each authentication.Security analysis shows that the scheme has only simple addition and multiplication in the certification process,it clearly reduces computational complexity and improves efficiency.
Keywords:one-time password  Hash function  RBF neural network  challenge/response
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机工程》浏览原始摘要信息
点击此处可从《计算机工程》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号