Abstract

High reliable street-level landmarks are the basis of IP geolocation, but landmark evaluation methods having been proposed cannot evaluate the street-level landmarks. Therefore, in this paper, a street-level landmark evaluation method based on nearest router is proposed. The location organization declared is regarded as an area not a point. Firstly, the declared location of preevaluated landmark is verified by IP location databases. Secondly, the preevaluated landmarks are grouped according to their nearest router. Then, the distance constraint is obtained using delay value between landmark and its nearest router by delay-distance correlation. And relation model is established among distance constraint, organization’s region radius, and distance between two landmarks. Finally, the reliability value of landmarks is calculated in each group based on relational model and binomial distribution. Landmarks evaluation experiment is taken based on 7082 preevaluated landmarks, and the results show that geolocation errors decrease obviously using evaluated landmarks. The mean error of 100 targets in Shanghai is reduced from 7.832km to 2.185km.

Highlights

  • The Internet of Things is an important part of a new generation of information technology, and it is an extended network based on the Internet

  • IP geolocation is a technology to determine the geographical location of IP network entities

  • The dataset containing 500 reliable landmarks and 500 generated landmarks is shown in Figure 4(b), and the initial reliability values of all landmarks in dataset are set to 50%

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Summary

Introduction

The Internet of Things is an important part of a new generation of information technology, and it is an extended network based on the Internet. The core supporting technology of the Internet of Things is cloud computing. IP geolocation is a technology to determine the geographical location of IP network entities. It has wide application prospects in the field of Internet of Things, such as ensuring that data flow within the privacy protection in cloud data sharing [1,2,3], improving the secret security in mobile cloud when secret keys distributed [4, 5], supporting location-based cloud services[6,7,8], and targeting covert communication subjects [9,10,11]. Landmark-based IP geolocation is an effective means to determining the region of the Internet entity. Existing evaluation methods of landmarks are divided into evaluation of web-based landmarks and evaluation of the IP location databases

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