通信学报 ›› 2015, Vol. 36 ›› Issue (Z1): 266-276.doi: 10.11959/j.issn.1000-436x.2015308

• 学术通信 • 上一篇    

改进的安全协议自适应分析算法

杨京1,2,范丹2,3,张玉清1,2   

  1. 1 西安电子科技大学 综合业务网理论及关键技术国家重点实验室,陕西 西安710071
    2 中国科学院大学 国家计算机网络入侵防范中心,北京 100190
    3 中国科学院 信息工程研究所 信息安全国家重点实验室,北京 100093
  • 出版日期:2015-11-25 发布日期:2015-12-29
  • 基金资助:
    核高基1-4“开源操作系统内核分析和安全性评估”基金资助项目;信息安全国家重点实验室开放基金资助项目

Adjusted automata learning algorithm for security protocol adaptive model checking

Jing YANG1,2,Dan FAN2,3,Yu-qing ZHANG1,2   

  1. 1 Information Security Research Center of State Key Laboratory of Integrated Services Networks,Xidian University,Xi'an 710071,China
    2 National Computer Network Intrusion Protection Center,University of Chinese Academy of Sciences,Beijing 100190,China
    3 State Key Laboratory of Information Security Institute of Information Engineering,Chinese Academy of Sciences,Beijing 100093,China
  • Online:2015-11-25 Published:2015-12-29
  • Supported by:
    The Core Electronic Devices,High-end Generic Chips and Basic Software 1-4 “Analysis and Security Assessment of the Open Source Operating System Kernel”;The Open Project Program of the State Key Laboratory of Information Security

摘要:

提出一种改进的安全协议自适应分析算法,即修正学习算法 La*,解决部分教师缺乏经验的问题,并将字符集扩展为大字符集。对提出的修正学习算法,进行了正确性证明和复杂度分析。该修正学习算法将有助于提高安全协议自适应模型检测的效率、降低分析和设计成本、缓解状态空间爆炸并增强协议本身对环境和各种攻击手段的防御能力。

关键词: 安全协议, 自适应模型检测, 学习算法, 缺乏经验的教师, 符号自动机

Abstract:

Modifications and improvements for adjusted automata learning algorithms,which were enabled by recent developments.Adjusted automata learning algorithm La* is correct and efficient.It will be helpful to improve adaptive model checking efficiency,reduce the cost,solve state space explosion problem and resist many kinds of attack methods for security protocols.

Key words: security protocol, adaptive model checking, learning algorithm, inexperienced teacher, symbolic automata

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