摘要
P2P流量的迅猛增长加剧了网络拥塞状况,P2P流量识别为网络管理提供了基本的技术支持。首先分析了P2P节点远端地址分布特性,在此基础上,提出了IP地址随机测度的特征用于衡量远端IP地址的分散性,并给出了一种基于IP地址随机测度的P2P主机识别算法。实验表明该算法能有效识别P2P主机,误报率低。
The rapid increase of P2 Ptraffic worsens the congestion of network while P2 Ptraffic identification becomes the basic technical support for network management.The heuristic method for identifying P2 Papplication was studied.Firstly,the behaviors that are inherent to P2 Phost were explored.The behaviors were translated to metrics:remote hosts' IP address entropy.An algorithm based on remote hosts' IP address entropy characteristics was proposed.The algorithm showed low false positive in experiment.
出处
《计算机科学》
CSCD
北大核心
2014年第S1期300-302,338,共4页
Computer Science