Method for IP geolocation based on association rule mining

被引：1
作者：
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing [1 ]
100876, China
机构：
[1] School of Computer Science, Beijing University of Posts and Telecommunications, Beijing
来源：
Dongnan Daxue Xuebao | / 4卷 / 657-662期
关键词：
Association rule mining; IP geolocation; IP geolocation database; Network measurement;
D O I：
10.3969/j.issn.1001-0505.2015.04.008
中图分类号：
学科分类号：
摘要：
To update the IP geolocation information in time and improve the geolocation accuracy and coverage ratio for the IP geolocation database, a statistical IP geological location scheme (IPGEL) is proposed based on association rule mining. First, the network measurement results are combined with IP geolocation databases' data to obtain a dataset for association rule mining. Secondly, the IPs in the dataset are classified and geolocated using the routing statistics of internet hierarchical structure in China and the association rule mining. Markov model is also used to supplement the geolocation for the IPs out of the dataset. Then both cross validation and landmarks validation are included in the evaluation to demonstrate the accuracy of the IPGEL method. The experimental results show that the IPGEL method increases the accuracy and the coverage ratio of the IP geolocation and improves the reliability of the existing IP geolocation databases at the same time. ©, 2015, Southeast University. All right reserved.
引用
收藏
页码：657 / 662
页数：5
相关论文
共 13 条
  • [1] Bendale J., Kumar J.R., Review of different IP geolocation methods and concepts, International Journal of Computer Science and Information Technologies, 5, 1, pp. 436-440, (2014)
  • [2] Katz-Bassett E., John J.P., Krishnamurthy A., Et al., Towards IP geolocation using delay and topology measurements, Internet Measurement Conference, pp. 71-84, (2006)
  • [3] Siwpersad S.S., Gueye B., Uhlig S., Assessing the geo- graphic resolution of exhaustive tabulation for geolocating internet hosts, Lecture Notes in Computer Science, 4979, pp. 11-20, (2008)
  • [4] Muir J.A., van Oorschot P.C., Internet geolocation: Evasion and counterevasion, ACM Computing Surveys, 42, 1, pp. 4.1-4.23, (2009)
  • [5] Laki S., Matray P., Haga P., Et al., Spotter: a model based active geolocation service, Proceedings of IEEE INFOCOM, pp. 3173-3181, (2011)
  • [6] Matray P., Haga P., Laki S., Et al., On the network geography of the Internet, Proceedings of IEEE INFOCOM, pp. 126-130, (2011)
  • [7] Gueye B., Ziviani A., Crovella M., Et al., Constraint-based geolocation of Internet hosts, IEEE/ACM Transactions on Networking, 14, 6, pp. 1219-1232, (2006)
  • [8] Youn I., Mark B.L., Richards D., Statistical geolocation of Internet hosts, Proceedings of IEEE International Conference on Computer Communications and Networks, pp. 1-6, (2009)
  • [9] Tian Y., Dey R., Liu Y., Et al., China's Internet: topology mapping and geolocating, Proceedings of IEEE INFOCOM, pp. 2531-2535, (2012)
  • [10] Guo C.X., Liu Y.X., Shen W.C., Et al., Mining the Web and the Internet for accurate IP address geolocations, IEEE INFOCOM, pp. 2841-2845, (2009)
12