Posit

Author:

Eriksson Brian1,Barford Paul2,Maggs Bruce3,Nowak Robert2

Affiliation:

1. Technicolor

2. UW-Madison

3. Duke University and Akamai Technologies

Abstract

Location-specific Internet services are predicated on the ability to identify the geographic position of IP hosts accurately. Fundamental to current state-of-the-art geolocation techniques is reliance on heavyweight traceroute-like probes that put a significant traffic load on networks. In this paper, we introduce a new lightweight approach to IP geolocation that we call Posit. This methodology requires only a small number of delay measurements conducted to end host targets in conjunction with a computationally-efficient statistical embedding technique. We demonstrate that Posit performs better than all existing geolocation tools across a wide spectrum of measurement infrastructures with varying geographic densities. Specifically, Posit is shown to geolocate hosts with median error improvements of over 55% with respect to all current measurement-based IP geolocation methodologies.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference26 articles.

1. Discarte

2. Analysis of the autonomous system network topology

3. End-to-end routing behavior in the Internet

4. "Skyhook Wireless " http://www.skyhookwireless.com/. "Skyhook Wireless " http://www.skyhookwireless.com/.

Cited by 20 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. IPvSeeYou: Exploiting Leaked Identifiers in IPv6 for Street-Level Geolocation;2023 IEEE Symposium on Security and Privacy (SP);2023-05

2. Curvature-based Analysis of Network Connectivity in Private Backbone Infrastructures;Proceedings of the ACM on Measurement and Analysis of Computing Systems;2022-02-24

3. GPS-Based Geolocation of Consumer IP Addresses;Passive and Active Measurement;2022

4. Discover the ICS Landmarks Based on Multi-stage Clue Mining;Wireless Algorithms, Systems, and Applications;2022

5. Learning to extract geographic information from internet router hostnames;Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies;2021-12-02

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