信息网络安全 ›› 2015, Vol. 15 ›› Issue (7): 1-6.doi: 10.3969/j.issn.1671-1122.2015.07.001

• •    下一篇

智慧城市中大数据安全分析与研究

陈红松(), 韩至, 邓淑宁   

  1. 北京科技大学计算机与通信工程学院,北京 100083
  • 收稿日期:2015-06-25 出版日期:2015-07-01 发布日期:2015-07-28
  • 作者简介:

    作者简介: 陈红松 (1977-),男,山东,副教授,博士,主要研究方向: 网络与信息安全、可信计算、云安全、物联网安全等;韩至(1990-),男,河南,硕士研究生,主要研究方向:云安全、大数据安全;邓淑宁(1992-),女,河南,硕士研究生,主要研究方向:云存储、数据库安全模型。

  • 基金资助:
    北京市自然科学基金[4142034];北京高等学校“青年英才计划”[YETP0380];北京市科技计划[D141100003414002];中央高校基本科研业务费专项资金[FRF-TP-14-042A2]

Analysis and Research on Big Data Security in Smart City

Hong-song CHEN(), Zhi HAN, Shu-ning DENG   

  1. School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
  • Received:2015-06-25 Online:2015-07-01 Published:2015-07-28

摘要:

人类社会已经全面进入信息时代,现代社会的信息量和复杂度已经远远超过人们在一二十年前对信息社会的设想。如何使得大数据在国家法律框架内被科学合理地使用,协调并处理好大数据开放与信息安全防护的矛盾,是当前大数据和信息安全研究者面临的主要问题。智慧城市通过有效运用现代计算机和通信技术实现城市的可持续健康发展。随着智慧城市建设与实施中的大数据系统数量迅速增长,数据的采集、传输、存储、审计等环节正面临巨大的安全挑战,大数据安全是智慧城市建设的基础与保障。文章分析了智慧城市中大数据存储、应用、管理过程中的安全策略,介绍了基于多标签的大数据安全访问控制模型,数据所有者可以根据实际安全需求对数据添加安全标签并实施安全访问控制。文章最后以伦敦智慧城市建设为例分析了大数据在智慧城市中的关键作用。

关键词: 智慧城市, 大数据, 安全挑战, 安全策略, 访问控制

Abstract:

Human society has completely entered the information age, the amount and complexity of information in modern society has exceeded peoples' vision in ten or twenty years ago. How to make use of big data within the national legal framework is important, it is a great challenge for the researchers of information security to coordinate and process the contradiction between the openness of big data and the protection of information. ICT (information and communication technology) is used to realize sustainable development of smart city. With the rapid increasing of big data in the construction and implementation of smart city, there are great challenges in data collection transmission storage and audit. The security of big data is the foundation and assurance of smart city. This paper analyzes the security policies during data storage data application and data management, introduces a multi-label based access control model for big data, which the owners of the data can add security labels to implement security access control according to the real security requirements. Taking the construction of London smart city as example, this paper analyzes the key function of big data in smart city.

Key words: smart city, big data, security challenge, security policy, access control

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