护照：使用不准确的源实现准确的国家级路由器地理位置
Passport: Enabling Accurate Country-Level Router Geolocation using Inaccurate Sources
摘要：
互联网流量何时跨越国际边界？这个问题具有重大的地缘政治、法律和社会影响，而且令人惊讶地难以回答。一个关键的绊脚石是缺乏工具，可以准确地将互联网流量经过的路由器映射到它们所在的国家。本文介绍护照：一种高效、准确的国家级路由器地理定位的新方法及其实现系统。Passport使用机器学习结合来自IP地理定位数据库、路由器主机名、whois记录和ping测量的信息，通过有限的主动测量提供位置预测。我们表明，护照大大优于现有的技术，并确定的情况下，路径穿越国家的安全，隐私和性能的影响。
英文摘要：
When does Internet traffic cross international borders? This question has major geopolitical, legal and social implications and is surprisingly difficult to answer. A critical stumbling block is a dearth of tools that accurately map routers traversed by Internet traffic to the countries in which they are located. This paper presents Passport: a new approach for efficient, accurate country-level router geolocation and a system that implements it. Passport provides location predictions with limited active measurements, using machine learning to combine information from IP geolocation databases, router hostnames, whois records, and ping measurements. We show that Passport substantially outperforms existing techniques, and identify cases where paths traverse countries with implications for security, privacy, and performance.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
