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Delay-distance correlation study for IP geolocation

  • Security of Network and Trust Computation
  • Published:
Wuhan University Journal of Natural Sciences

Abstract

Although many classical IP geolocation algorithms are suitable to rich-connected networks, their performances are seriously affected in poor-connected networks with weak delay-distance correlation. This paper tries to improve the performances of classical IP geolocation algorithms by finding rich-connected sub-networks inside poor-connected networks. First, a new delay-distance correlation model (RTD-Corr model) is proposed. It builds the relationship between delay-distance correlation and actual network factors such as the tortuosity of the network path and the ratio of propagation delay. Second, based on the RTD-Corr model and actual network characteristics, this paper discusses about how to find rich-connected networks inside China Internet which is a typical actual poor-connected network. Then we find rich-connected sub-networks of China Internet through a large-scale network measurement which covers three major ISPs and thirty provinces. At last, based on the founded rich-connected sub-networks, we modify two classical IP geolocation algorithms and the experiments in China Internet show that their accuracy is significantly increased.

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Correspondence to Xiangyang Luo.

Additional information

Foundation item: Supported by the National Natural Science Foundation of China (61379151, 61274189, 61302159 and 61401512), the Excellent Youth Foundation of Henan Province of China (144100510001) and Foundation of Science and Technology on Information Assurance Laboratory ( KJ-14-108)

Biography: DING Shichang, male, Ph.D. candidate, research direction: IP geolocation.

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Ding, S., Luo, X., Ye, D. et al. Delay-distance correlation study for IP geolocation. Wuhan Univ. J. Nat. Sci. 22, 157–164 (2017). https://doi.org/10.1007/s11859-017-1229-2

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  • DOI: https://doi.org/10.1007/s11859-017-1229-2

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