Geographical Location Recognition of IP Based on Network Structure Features
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摘要: 现有IP定位技术通过查询IP注册信息数据库或利用测量得到的时延等信息确定IP具体位置，在实际中由于受各种因素的影响，对网络中的大部分IP都无法得到准确、合理的定位结果。为此，该文提出一种基于网络结构特征的IP所属区域识别方法。该方法通过探测节点向待定位的IP发送Traceroute探测包获得两者之间的网络结构特征，并比较待定位节点和已知地理位置节点之间的网络结构特征确定待定位节点所属区域。测试结果表明该文方法和现有的数据库查询的正确率相比有部分提升。Abstract: The existing IP location technology determines the location of IP by querying IP to register information databases or using time-delay information. In fact, due to the influence of various factors, most of the IP in the network can not get accurate and reasonable positioning results. For this reason, a region recognition method of IP is proposed based on network structure features. This method obtains the network topology information between the two nodes by sending the Traceroute detection packet from the detection nodes to the IPs that need to be located Comparing the network structure features between the nodes to be located and the known geographical nodes determines where the nodes located. The actual test shows that this method can achieve better results.
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表 1 情况1：华盛顿大学探测波士顿中可能是同一C网的IP对路径信息(可达)
IP 11跳 12跳 13跳 14跳 15跳 16跳 128.197.26.34 162.252.70.97 192.5.89.17 207.210.143.202 128.197.254.121 128.197.254.166 128.197.26.34 128.197.26.35 162.252.70.97 192.5.89.17 207.210.143.202 128.197.254.121 128.197.254.146 128.197.26.35 
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表 2 情况2：华盛顿大学探测华盛顿州中非同一C网的IP对路径信息(可达)
IP 5跳 6跳 7跳 8跳 9跳 10跳 147.222.6.71 209.124.190.236 209.124.190.237 147.222.255.248 147.222.63.254 147.222.63.203 147.222.6.71 168.156.125.39 209.124.190.170 209.124.190.171 168.156.125.39
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表 3 情况1的最小单位网络结构特征
IP 11跳 12跳 13跳 14跳 15跳 16跳 128.197.26.34 162.252.70.* 192.5.89.* 207.210.143.* 128.197.254.* 128.197.254.* 128.197.26.34 128.197.26.35 162.252.70.* 192.5.89.* 207.210.143.* 128.197.254.* 128.197.254.* 128.197.26.35
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表 4 情况2的最小单位网络结构特征
IP 5跳 6跳 7跳 8跳 9跳 10跳 147.222.6.71 209.124.190.* 209.124.190.* 147.222.255.* 147.222.63.* 147.222.63.* 147.222.6.71 168.156.125.39 209.124.190.* 209.124.190.* 168.156.125.39
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