[1]张 震,李庆杰,肖瑞洁.交通大数据平台中安全系统建设[J].计算机技术与发展,2021,31(10):93-97.[doi:10. 3969 / j. issn. 1673-629X. 2021. 10. 016]
　ZHANG Zhen,LI Qing-jie,XIAO Rui-jie.Safety System Construction in Traffic Big Data Platform[J].,2021,31(10):93-97.[doi:10. 3969 / j. issn. 1673-629X. 2021. 10. 016]
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交通大数据平台中安全系统建设()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
31
期数:
2021年10期
页码:
93-97
栏目:
网络与安全
出版日期:
2021-10-10

文章信息/Info

Title:
Safety System Construction in Traffic Big Data Platform
文章编号:
1673-629X(2021)10-0093-05
作者:
张 震1 ; 李庆杰2 ; 肖瑞洁2
1. 郑州大学 电气工程学院,河南 郑州 450001;
2. 郑州大学 信息工程学院,河南 郑州 450001
Author(s):
ZHANG Zhen1 ; LI Qing-jie2 ; XIAO Rui-jie2
1. School of Electrical Engineering,Zhengzhou University,Zhengzhou 450001,China;
2. School of Information Engineering,Zhengzhou University,Zhengzhou 450001,China
关键词:
大数据; 智慧交通; 安全系统; 大数据平台; 管理安全
Keywords:
big data; intelligent transportation; security system; big data platform; management safety
分类号:
TP302
DOI:
10. 3969 / j. issn. 1673-629X. 2021. 10. 016
摘要:
经过多年来的信息化建设和积累,交通信息资源总量呈指数级增长,大数据带来的安全问题也日益突显。 随着智慧交通系统的出现和快速发展,交通大数据已经成为基础性资源,涵盖了大量的敏感信息,此类信息一旦泄露被非法使用,将给用户的安全带来巨大威胁。 交通大数据平台用于采集、管理交通大数据,获得了大量交通信息数据,因此存在信息丢失与泄露、被不法分子非法访问、恶意攻击等风险。 文章分析了交通大数据平台中存在的安全隐患,对交通大数据平台中的安全系统建设进行了深入探究,基于纵深防御体系原理,提出了包括物理安全、网络安全、数据安全、管理安全等方面的安全系统建设,发现并阻断来自互联网的恶意网络扫描和攻击行为,规避了一系列信息安全风险,保障了交通大数据平台上各业务的安全运行。
Abstract:
After years of information construction and accumulation, the total amount of traffic information resources has grown exponentially,and the security problems brought about by big data have become increasingly prominent. With the emergence and rapid development of smart transportation systems,transportation big data has become a basic resource,covering a large amount of sensitive information. Once such information is leaked and used illegally, it will pose a huge threat to the safety of users. The traffic big data platform is used to collect and? ?manage traffic big data and obtain a large amount of traffic information data. Therefore,there are risks of information loss and leakage,illegal access by criminals and malicious attacks. We analyze the hidden dangers in the traffic big data platform,and conduct an in-depth exploration? ? ?of the security system construction in the provincial traffic big data platform. Based on the principle of the defense-in-depth system,the security system construction, including physical security,network security,data security,management security,is proposed to detect and block malicious network scanning and attack behavior from the Internet,avoiding a series of information security risks,and ensuring the safe operation of all services on the traffic big data platform.

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更新日期/Last Update: 2021-10-10