重点车辆监控平台海量数据安全保障关键技术  

Technologies for Ensuring Massive Data Security of Key Vehicle Supervision Platform

作　　者：赵力萱[1] 詹承志[2] 聂佩林[3] 程智锋[2] 

机构地区：[1]广东警官学院治安系交通管理学教研室,广东广州510230 [2]中山大学工学院智能交通研究中心,广东广州510006 [3]佛山科学技术学院环境与土木建筑学院,广东佛山528000

出　　处：《计算机与现代化》2013年第10期117-120,共4页Computer and Modernization

基　　金：国家自然科学基金资助项目(41271181);2011年公安部公安理论及软科学研究计划项目(2011LLYZGDST062)

摘　　要：在物联网环境下对重点车辆进行监管,需要针对海量数据的安全问题制定有效的管理方法。为构建平台数据安全保障机制,本文对海量数据安全保障关键技术进行研究。首先,通过制定平台标准化体系完成异构网络数据的安全交换。然后,结合分布式处理技术提出基于Hadoop的重点车辆信息管理模型,使海量数据可以高效存储与处理。再次,基于地图匹配算法和时态GIS技术实现对业务数据真实性检验。最后为监控平台提供安全、可靠、真实的数据支撑。Aiming at the massive data security problems, effective management method is necessary to be established in key vehi- cle supervision under Internet of things. In order to ensure the information security of key vehicle supervision platform, technologies for ensuring massive data security are studied. First of all, standardization system of supervision platform is established to contribute to security data exchange between heterogeneous networks. Then a vehicle information management mode based on Hadoop distribu- ted parallel technology is proposed to ensure the data can be stored and processed efficiently. Then map-matching algorithm and technology of temporal GIS is applied to check authenticity of service data. In the end, a data support with the characteristics of safe, reliable and real can be supported by the key vehicle supervision platform with the realization of the technologies above.

关 键 词：重点车辆信息管理模型 物联网 海量数据 安全保障机制 异构网络 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]