智能交通大数据隐私保护实验平台

Big Data Privacy Protection Platform for Intelligent Transportation System

智能交通系统是未来交通系统的发展方向,它集成了多方面技术的管理系统,具有实时、准确、高效等特点。随着系统的数据量越来越大,对交通大数据隐私的保护则显得格外重要。大数据隐私保护仿真平台提供两种方式建立路网,一种是使用路网生成工具,通过自主编写道路文件生成自定义的路网;另一种是使用路网转换工具,转换不同格式的路网。研究归纳了现阶段智能交通大数据隐私保护面临的挑战与不足,介绍了智能交通大数据实验平台的构成和原理,描述了系统框架的设置和隐私保护方法。结果表明:该平台能够有效智能交通大数据安全隐私,具有较好的教学与科研价值。

Intelligent transportation systems（ ITSs） become the mainstream direction of the future transportation system.An Intelligent transportation system integrates many kinds of technologies,and has the characteristics of real-time,accuracy and high efficiency. With the increasing amount of data,it is very important to protect the privacy of traffic data. Big data privacy protection simulation platform provides two methods to establish the system. One is to use the network generation tool and another is to use network conversion tool. The drawbacks and challenge of privacy protection for big data in intelligent transportation systems are summarized. The principle and organization of the experimental platform for ITSs are introduced. The architecture and the approaches of privacy preservation are also presented.Experimental results demonstrate that the proposed methods can effectively protect the privacy for big data and has a certain value in the actual teaching and scientific research.