arXiv 1611.079102016-11-14cs.CRcs.CEcs.SYeess.SY

基于地图的死记定位 --- 保险遥控技术中位置隐私的研究

Map-aided Dead-reckoning --- A Study on Locational Privacy in Insurance Telematics

KTH Royal Institute of Technology（皇家理工学院）；ACCESS Linnaeus Center, Dept. of Signal Processing, KTH Royal Institute of Technology（林奈计划中心信号处理系，皇家理工学院）；Instituto de Telecomunicações, Departamento de Engenharia Eletrotécnica e de Computadores, Faculdade de Engenharia da Universidade do Porto（电信研究所电气工程与计算机工程系，波尔图大学工程学院）

Johan Wahlström, Isaac Skog, João G. P. Rodrigues, Peter Händel, Ana Aguiar

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AI总结：

本文提出基于粒子的框架，利用地图信息和速度测量估算车辆位置，探讨了保险遥控技术中位置数据的敏感性和隐私影响。

摘要：

本文提出基于粒子的框架，利用地图信息和速度测量估算车辆位置，探讨了保险遥控技术中位置数据的敏感性和隐私影响。

英文摘要：

We present a particle-based framework for estimating the position of a vehicle using map information and measurements of speed. Two measurement functions are considered. The first is based on the assumption that the lateral force on the vehicle does not exceed critical limits derived from physical constraints. The second is based on the assumption that the driver approaches a target speed derived from the speed limits along the upcoming trajectory. Performance evaluations of the proposed method indicate that end destinations often can be estimated with an accuracy in the order of $100\,[m]$. These results expose the sensitivity and commercial value of data collected in many of today's insurance telematics programs, and thereby have privacy implications for millions of policyholders. We end by discussing the strengths and weaknesses of different methods for anonymization and privacy preservation in telematics programs.

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