一种基于接口异常度可信判断的内容中心网络缓存污染防御方法
发布时间：2018-07-26 13:13
【摘要】：针对内容中心网络的缓存污染攻击问题,提出一种基于接口异常度可信判断的限速机制,根据接口异常度检测缓存污染攻击类型,并结合接口命中率对异常接口进行限速控制.仿真结果表明,该机制可以同时防御缓存恶意侵占(Locality-Disruption)和虚假内容缓存(False-Locality)2种攻击,且通过引入False-Locality攻击的可信度判断,可大概率区分异常的False-Locality攻击和正常的突发拥塞事件,避免错误抑制Flash Crowd网络行为.
[Abstract]:In order to solve the problem of cache pollution attack in content-centric network, a speed limiting mechanism based on credible judgment of interface anomaly degree is proposed, which detects cache contamination attack type according to interface anomaly degree, and controls the speed limit of abnormal interface based on interface hit ratio. The simulation results show that the mechanism can protect against both Locality-Disruption and False-Locality attacks, and by introducing the credibility of False-Locality attacks, it is possible to distinguish abnormal False-Locality attacks from normal burst congestion events. Avoid error suppression of Flash Crowd network behavior.
【作者单位】： 江苏大学计算机科学与通信工程学院;
【基金】：国家自然科学基金项目(41474095)
【分类号】：TP393.08
本文编号：2146120
[Abstract]:In order to solve the problem of cache pollution attack in content-centric network, a speed limiting mechanism based on credible judgment of interface anomaly degree is proposed, which detects cache contamination attack type according to interface anomaly degree, and controls the speed limit of abnormal interface based on interface hit ratio. The simulation results show that the mechanism can protect against both Locality-Disruption and False-Locality attacks, and by introducing the credibility of False-Locality attacks, it is possible to distinguish abnormal False-Locality attacks from normal burst congestion events. Avoid error suppression of Flash Crowd network behavior.
【作者单位】： 江苏大学计算机科学与通信工程学院;
【基金】：国家自然科学基金项目(41474095)
【分类号】：TP393.08
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