一种使用扩展混沌映射的基于生物特征密钥协商协议  

A Biometric-based Agreement Key Protocol Using Extended Chaotic Maps

作　　者：舒剑[1] 

机构地区：[1]江西财经大学电子商务系,南昌330013

出　　处：《小型微型计算机系统》2015年第3期524-528,共5页Journal of Chinese Computer Systems

基　　金：国家自然科学基金项目(61163053)资助

摘　　要：认证密钥协商协议是两个或多个用户产生一个共享的安全会话密钥.在开放的网络中,用户可以使用共享的会话密钥加密/解密消息达到安全通信.近来,基于生物特征和口令的远程认证方案得到研究者的广泛关注.受到切比雪夫映射的半群特性和基于混沌映射的密钥协商协议启发,本文提出一种使用扩展混沌映射的基于生物特征密钥协商协议.新协议没有采用模指数运算或者椭圆曲线的点乘运算.安全性分析表明,新协议具有显著特征并且能抵抗各类攻击,包括特权用户攻击,重放攻击,口令猜测攻击等.性能分析表明,与其它相关协议比较,新协议的计算复杂度较低.An authenticated key agreement protocol is used derive a shared secure session key by two or more parties. Users can se- curely exchange information over an open network by using the shared session key to encrypt/decrypt secure information. Recently ,bi- ometric-based remote user authentication schemes along with passwords have drawn considerable attention in research. Inspired by the semi-group property of Chebshev maps and key agreement protocols based on chaotic maps, we proposed a biometric-based agreement key protocol using extended chaotic maps. Modular exponential computing or scalar multiplication on elliptic curve used has been avoi- ded in the new scheme. Security analysis shows that our protocol has comprehensive characteristics and can resist various attacks, in- cluding the privileged insider attack, replay attack, password guessing attack and others. Performance analysis shows that the computa- tional cost of our protocol is low when compared with related protocols.

关 键 词：半群 基于生物特征 混沌映射 模指数 点乘 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]