Loading [MathJax]/extensions/MathMenu.js
Mobile IP Geolocation Based on District Anchor Without Cooperation of Users or Internet Service Providers | IEEE Journals & Magazine | IEEE Xplore

Mobile IP Geolocation Based on District Anchor Without Cooperation of Users or Internet Service Providers

DatasetsAvailable

Abstract:

Mobile IP geolocation aims to obtain a mobile device’s geographic location by IP. This technology is widely used in preventing financial risk, investigating cybercrime, a...Show More

Abstract:

Mobile IP geolocation aims to obtain a mobile device’s geographic location by IP. This technology is widely used in preventing financial risk, investigating cybercrime, and delivering targeted information. Currently, there are three types of IP geolocation: based on cooperation, querying in database, or network measurement. However, since restricted cooperation, low-reliability databases, and unresponsive mobile IPs, existing technologies are hard to geolocate fine-grained location of mobile IP. In this paper, we propose the concept of district anchor, and propose a non-cooperative mobile IP geolocation scheme, including three parts: acquiring district anchors by clustering, evaluating the reliability of district anchors, and geolocating mobile IPs. We also give implemented approach of this scheme. Instead of using existing clustering algorithms treating IPs and geolocations in no particular order, we propose two-stages clustering algorithm (IPG2C) to acquire district anchors, and establish reliability evaluation mechanism by IP distribution and spatial distribution of cluster. Eventually, using obtained reliable district anchors, we use “subnet geolocation” strategy to geolocate mobile IPs. The experimental results in 10 cities show that: 1) our scheme can be used to geolocate mobile IPs without cooperation; 2) the mean geolocation error is 12.47km, where precision of 56.67% of mobile IPs is street-level and minimum error is only 13m; 3) that the mean geolocation error of the anchor-based method is smaller than that of the landmark-based method; 4) compared with 13 clustering algorithms (e.g., K-Means++, Mean Shift, DBSCAN, and GMM), mean geolocation error using IPG2C’s district anchors is reduced by 26.62%~50.77%.
Published in: IEEE/ACM Transactions on Networking ( Volume: 32, Issue: 6, December 2024)
Page(s): 5507 - 5523
Date of Publication: 11 October 2024

ISSN Information:

Funding Agency:


I. Introduction

Mobile IP geolocation is a technology for obtaining the geographic locations of mobile devices by their IPs in cellular networks [1]. Currently, a huge number of mobile devices are rich in function. Mobile IP geolocation is widely used in security and forensics, such as: 1) financial institutions can effectively prevent cross-border credit card fraud by adding the geolocation of mobile devices to fraud detection algorithms [2]; 2) the law enforcements use the geolocation of mobile IPs to conduct cybercrime investigations [3]; 3) advertisers are able to deliver targeted information after determining the geolocation of mobile devices according to IPs, which will bring higher benefits [4]; 4) The streaming media service platform is able to provide differentiated services based on the geolocation of the mobile IP, etc. There are three types of existing IP geolocation technologies, as follows:

This article includes datasets hosted on IEEE DataPort(TM), a data repository created by IEEE to facilitate research reproducibility or another IEEE approved repository. Click the dataset name below to access it on the data repository
Dataset Name: Checkin GPS points
Contact IEEE to Subscribe

References

References is not available for this document.