Improving the Accuracy of IP Geolocation Based on Public IP Geoservices Data

Author:

Ivanov Maxim,Polunin Alexander

Abstract

IP geolocation is the process of determining the real geographic location of an electronic device connected to the Internet, by its global network address [1]. Currently, it has found wide application in Internet commerce, marketing and advertising, information security [2], and other areas of human activity. There are different methods for determining the location of a remote network device, which differ both in type of analyzed information (delay packet transmission, resource records DNS-servers, the content of Web pages), and the result (country or city name, mail address, probable area of location or exact coordinates) [3, 4]. IP geolocating error depends on the country, population density, type of network device and ranges from several tens of meters to hundreds of kilometers. For the same input data, the results of different IP-geoservices can vary significantly. The object of this study is the public IP-geoservices that provide geolocating services for nodes in the global network based on their IP addresses, and specifically, their accuracy and completeness. The sample of IP-geoservices for testing was formed from the most popular ones [5]. During the study, the results of IP-geolocation were compared with reliable information about the location of some IP addresses, as indicators of accuracy country, city and geographic coordinates were used. Based on the comparative analysis of the test results, conclusions about the accuracy of IP-geolocation services according to the selected indicators, their essential properties, as well as the dependence of geolocation error on the size of the settlement were made. To improve the accuracy of IP georeferencing, the authors proposed an ensemble method for averaging coordinates obtained from several IP geoservices.

Publisher

SPIIRAS

Subject

Artificial Intelligence,Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Computer Networks and Communications,Information Systems

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A method of Improving the Security of Information and Telecommunications Network Using the Means of Determining Intruder's Geolocation;Proceedings of Telecommunication Universities;2023-09-21

2. DeviceGPT: A Generative Pre-Training Transformer on the Heterogenous Graph for Internet of Things;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3