基于路径上报的车联网轨迹隐私保护

发布时间：2018-03-14 14:06

本文选题：车联网　切入点：数据收集　出处：《计算机研究与发展》2017年11期 　论文类型：期刊论文

【摘要】：车载自组织网络(vehicular ad hoc networks,VANETs)(也称车联网)数据收集与应用为智能交通、城市规划、降低车辆污染等问题提供有效的技术和数据保障.在车联网数据收集中通常需要车载用户上报连续路段位置信息,这给车载用户个人轨迹隐私带来严重的威胁.然而现有用户轨迹保护算法主要基于单点位置保护,不能有效保护基于路径上报的用户轨迹隐私.针对车联网中用户移动轨迹易泄露问题,提出一种基于路径隐私保护的位置信息上报方案.该方案给出用户轨迹隐私保护定义和路径隐私限制下的问题模型,同时证明了该问题是NP-hard问题.此外,还给出该问题的具体近似算法的实现.仿真实验结果表明:提出的算法具有良好的车载用户隐私保护功能和数据收集覆盖性能.
[Abstract]:Vehicular ad hoc networks data collection and application for intelligent transportation, urban planning, Reduce vehicle pollution and other problems to provide effective technical and data protection. In the vehicle networking data collection, vehicle users are usually required to report continuous section location information. This poses a serious threat to the personal trajectory privacy of vehicle users. However, the existing user trajectory protection algorithms are mainly based on single-point location protection. Can not effectively protect the path based on the path reported user trajectory privacy. A location information reporting scheme based on path privacy protection is proposed, which gives the definition of user path privacy protection and the problem model under path privacy restriction, and proves that the problem is a NP-hard problem. The simulation results show that the proposed algorithm has good privacy protection function and data collection coverage.
【作者单位】：安徽工业大学计算机科学与技术学院;
【基金】：国家自然科学基金项目(61672038,61402009) 安徽省高校优秀青年人才支持计划安徽省高校自然科学研究重大项目(KJ2014ZD05) 安徽省重点研究与开发计划面上科技攻关项目(1704a0902033)~~
【分类号】：TN929.5;TP309;U495

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