功率自激网络最近邻链缓存污染判决门限控制

Power Self-excitation Network Neighbor Chain Cache Pollution Threshold Control

功率自激网络在攻击容忍系统设计中,由于最近邻链缓存污染,导致对功率自激网络的攻击成功率较高,难以实现有限的拦截。提出采用最近邻链缓存污染判决门限控制的方法,通过自适应门限控制,提高对攻击信号的拦截概率。建立功率自激网络及缓存污染攻击系统模型,假设功率自激网络路由的内容流行度服从Zipf分布,得到入侵最近邻链缓存污染拦截在攻击容忍系统中的功率谱密度特征。采用最大似然估计进行攻击容忍系统中的HMM参数的更新,设计最近邻链缓存污染判决门限控制的方法,改进自适应判决门限控制算法,提高对攻击信号的拦截概率,达到消除缓存污染攻击的效果,实现对内容耗散网络的安全控制。仿真结果表明,该算法能有效实现了对缓存污染的拦截和冗余数据去除,缓存污染攻击拦截率,保证了功率自激网络的安全。

The attack power self excitation network in self tolerance in system design, because the nearest chain cache pollution, lead to the power of self network attack success rate high, it is difficult to achieve finite intercept. The method of the nearest neighbor chain cache pollution threshold control, it is controlled by adaptive threshold, to improve the interception probability of attacks signal. Establishment of power self network and cache pollution attack system model, assuming the power of self routing of content popularity obeys Zipf distribution, we get intrusion nearest neighbor chain cache pollution interception in attack tolerance power spectral density characteristics in the system. Maximum likelihood estimation of HMM attack tolerance parameters in the system was updated by the nearest neighbor method, design chain cache pollution threshold control, improved adaptive threshold control algorithm, improve the interception probability of the signal to attack, to eliminate the effect of cache pollution attacks, security control over the content of dissipative network. The simulation results show that, the algorithm can effectively intercept and reduce redundant data to the cache pollution, cache pollution attack interception rate is improved, it can ensure power self network security.