通信学报 ›› 2016, Vol. 37 ›› Issue (9): 1-9.doi: 10.11959/j.issn.1000-436x.2016172

• 学术论文 •    下一篇

CCN中基于节点状态模型的缓存污染攻击检测算法

汤红波,郑林浩,葛国栋,袁泉   

  1. 国家数字交换系统工程技术研究中心,河南 郑州 450002
  • 出版日期:2016-09-25 发布日期:2016-09-28
  • 基金资助:
    国家重点基础研究发展计划(“973”计划)基金资助项目;国家自然科学基金创新群体;国家高技术研究发展计划(“863”计划)基金资助项目

Detection algorithm for cache pollution attacks based on node state model in content centric networking

Hong-bo TANG,Lin-hao ZHENG,Guo-dong GE,Quan YUAN   

  1. National Digital Switching System Engineering& Technological R&D Center,Zhengzhou 450002,China
  • Online:2016-09-25 Published:2016-09-28
  • Supported by:
    The National Key Basic Research and Development Programs of China (973 Program);The Foundation for Innovative Research Groups of the National Natural Science Foundation of China;The National High-Tech Research and Development Program of China (863 Program)

摘要:

针对内容中心网络中的缓存污染攻击问题,以污染内容数量、分布状态和攻击强度3个参数对缓存污染攻击进行定量描述和分析,建立了攻击下的节点缓存状态模型。通过分析节点关键参数的变化,提出了基于节点状态模型的攻击检测原则,并分别以单位时间缓存替换率和请求达到率为观测参数进行算法实例化设计。仿真结果与性能分析表明,所提检测算法在应对分散式攻击与集中式攻击时,可以取得良好的检测性能。

关键词: 内容中心网络, 缓存污染攻击, 缓存状态模型, 攻击检测

Abstract:

Aiming at cache pollution attacks in content centric networking,the attacks were quantitatively described by three parameters,namely number of pollution contents,distribution of attack requests and attack intensity,then the cache state model of node under attack was built.Benefited from the analysis of key parameters of cache node,the attack detection principle based on node state model was put forward,correspondingly,two attack detection algorithms were instantiated with the observation parameters of cache replacement ratio and request arrival rate.The simulation results show that proposed algorithm can obtain good detection performance under each decentralized attack and centralized attack.

Key words: content centric networking, cache pollution attacks, cache state model, attack detection

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