Abstract
IP Geolocation technology is widely used in network security, especially in attack tracing, cyberspace security situation analysis and display, which has attracked attentions both in academic research and commercial applications. At present, there are many commercial or open source IP geolocation databases on the Internet. These databases have different geolocation accuracy, can not provide consistent positioning results, and seriously affect the user’s confidence in these databases. To create an accurate geolocation database, a delay step based geolocation data verification method was proposed to find suspicious data in the geolocation database, and then an adaptive localization algorithm is introduced to verify the questionable data and improve the accuracy of geolocation database. Experiments show that by this method nearly half of the geolocation data can be verified, and results on the test data show the proposed method can efficiently improve the geolocation database.
Keywords
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Wong, B., Stoyanov, I., Sirer, E.G.: Octant: a comprehensive framework for the geolocalization of internet hosts. In: Proceedings of NSDI 2007 Symposium, Cambridge, Massachusetts (2007)
Katz-Bassett, E., John, J., Krishnamurthy, A., Wetherall, D., Anderson, T., Chawathe, Y.: Towards IP geolocation using delay and topology measurements. In: Proceedings of ACM IMC 2006, Brazil, pp. 71–84 (2006)
Gill, P., Ganjali, Y., Wong, B.: Where’s that IP? Circumventing measurement-based IP geolocation. In: Proceedings of Usenix Security Symposium (2010)
Gueye, B., Uhlig, S., Fdida, S.: Investigating the imprecision of IP block-based geolocation. In: Uhlig, S., Papagiannaki, K., Bonaventure, O. (eds.) PAM 2007. LNCS, vol. 4427, pp. 237–240. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-71617-4_26
Laki, S., Mátray, P., Hága, P., Csabai, I., Vattay, G.: A model based approach for improving router geolocation. Comput. Netw. 54(9), 1490–1501 (2010)
Anderson, M., Bansal, A., Doctor, B., Hadjiyiannis, G., et al.: Method and apparatus for estimating a geographic location of a networked entity. United States Patent 6,684,250. Assigned to Quova, Inc. Filed 3 April 2001. Issued 27 January 2004
Eriksson, B., Barford, P., Sommers, J., Nowak, R.: A learning-based approach for IP geolocation. In: Krishnamurthy, A., Plattner, B. (eds.) PAM 2010. LNCS, vol. 6032, pp. 171–180. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-12334-4_18
Hu, Z., Heidemann, J., Pradkin, Y.: Towards geolocation of millions of IP addresses. In: IMC 2012 (2012)
Padmanabhan, V.N., Subramanian, L.: An investigation of geographic mapping techniques for Internet hosts. In: Proceedings of the ACM SIGCOMM Conference, August 2001, San Diego, California, USA, pp. 173–185. ACM (2001)
Gueye, B., Ziviani, A., Crovella, M., Fdida, S.: Constraint-based geolocation of Internet hosts. ACM/IEEE Trans. Netw. 14(6), 1219–1232 (2006)
Wang, Y., Burgener, D., Flores, M., et al.: Towards street-level client-independent IP geolocation. In: Proceedings of the 8th USENIX Conference on Networked Systems Design and Implementation, Berkeley, CA, USA. USENIX Association (2011)
Youn, I., Mark, B.L., Richards, D.: Statistical geolocation of Internet hosts. In: Proceedings of International Conference on Computer Communications and Networks (ICCCN) (2009)
Ziviani, A., Fdida, S., Rezende, J.F., Duarte, O.C.M.B.: Similarity models for Internet host location. In: Proceedings of ICON (2003)
Muir, J., Oorschot, P.C.: Internet geolocation: evasion and counterevasion. ACM Comput. Surv. 42, 4 (2009)
Arif, M.J., Karunasekera, S., Kulkarni, S., Gunatilaka, A., Ristic, B.: Internet host geolocation using maximum likelihood estimation technique. In: Proceedings of IEEE International Conference on Advanced Information Networking and Applications (AINA) (2010)
Shavitt, Y., Zilberman, N.: A study of geolocation databases. arXiv cs.NI/.5674v3 (2010)
Guo, C., Liu, Y., Shen, W., Wang, H.J., Yu, Q., Zhang, Y.: Mining the web and the internet for accurate IP address geolocations. In: Proceedings of INFOCOM (2009)
Laki, S., Mátray, P., Hága, P., Sebők, T., Csabai, I., Vattay, G.: Spotter: a model based active geolocation service. In: Proceedings of INFOCOM 2011 (2011)
Acknowledgment
This work was supported by the State Key Development Program for Basic Research of China Grant No. 2012CB315806, the National Natural Science Foundation of China under Grant No. 61379149 and No. 61402521, and Jiangsu Province Natural Science Foundation of China under Grant No. BK20140068 and No. BK2010133.
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Xiaoming, Z., Zhanfeng, W., Xianglin, W., Zihan, Z., Chao, H. (2018). A Delay Step Based Geolocation Data Verification Method. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11064. Springer, Cham. https://doi.org/10.1007/978-3-030-00009-7_39
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DOI: https://doi.org/10.1007/978-3-030-00009-7_39
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