电力营销信息系统数据安全防护
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摘要
近年来,随着云计算、物联网、大数据、移动互联网等新技术的快速发展和日趋成熟,传统的电力营销系统也开展了大数据平台的建设。在对数据的挖掘和应用中,数据安全问题逐渐显露出来。电力营销系统中的数据涉及大量保密性较高的信息,信息泄露会给电力公司带来巨大损失,也会威胁到用户安全。因此,如何在不影响数据正常使用的情况下,保证数据的安全成为当下研究的热点。本文通过对可应用于电力营销系统中的数据安全防护措施进行研究,在数据层面进行变换,消除原始数据中的敏感信息,加强了数据保密性,保障了数据安全。
In recent years, with the improvement of cloud computing, Internet of Things, big data and mobile Internet, the classical electricity marketing system also develops the construction of big data platform. At the same time, the problem of data security is exposed during data mining. Due to there is much privacy information in the electricity marketing system, information leakage will bring huge loss to electricity company and will threaten user security, so many researches focus on the protection of data under using it normally. At present, most of the electricity companies still solve the security problem from the physical layer with authority management and firewall, but these methods are not enough in the society with highly developed information technology. This paper describes methods for electricity marketing system to ensure the safety of the database from data layer through the transformation on the original data, including data encryption and data masking. These methods reinforce the secrecy of the database by concealing sensitive information and eliminating data security risk fundamentally.
In recent years, with the improvement of cloud computing, Internet of Things, big data and mobile Internet, the classical electricity marketing system also develops the construction of big data platform. At the same time, the problem of data security is exposed during data mining. Due to there is much privacy information in the electricity marketing system, information leakage will bring huge loss to electricity company and will threaten user security, so many researches focus on the protection of data under using it normally. At present, most of the electricity companies still solve the security problem from the physical layer with authority management and firewall, but these methods are not enough in the society with highly developed information technology. This paper describes methods for electricity marketing system to ensure the safety of the database from data layer through the transformation on the original data, including data encryption and data masking. These methods reinforce the secrecy of the database by concealing sensitive information and eliminating data security risk fundamentally.
引文
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[23] 姜日敏. 电信运营商数据脱敏系统建设方案探讨[J]. 中国科技信息, 2014(8):132-133.
[2] MANOGARAN G, THOTA C, KUMAR M V. MetaCloudDataStorage architecture for big data security in cloud computing[J]. Procedia Computer Science, 2016,87:128-133.
[3] 冀鹏. 浅析数据库安全及其防范措施[J]. 黑龙江科技信息, 2016(2):26-27.
[4] 方婷. 关于数据库安全与加密技术探析[J]. 山东工业技术, 2016(12):134.
[5] 汪滢,熊婷,兰长明. 大规模数值型数据库中敏感数据的加密算法研究[J]. 科学技术与工程, 2017,17(17):94-98.
[6] 李战克,丁梦娟. 大数据环境下的数据安全研究[J]. 信息安全与技术, 2015,6(2):7-9.
[7] 刘明辉,张尼,张云勇,等. 云环境下的敏感数据保护技术研究[J]. 电信科学, 2014,30(11):2-8.
[8] 邢宇恒,张冰,毛一凡.数据脱敏在海量数据系统中的应用[J]. 电信科学, 2017,33(S1):8-14.
[9] DONG X H, LI R X, HE H, et al. Secure sensitive data sharing on a big data platform[J]. Tsinghua Science and Technology, 2015,20(1):72-80.
[10] 郭嘉凯. 数据脱敏:敏感数据的安全卫士[J]. 软件和信息服务, 2014(2):66-67.
[11] 马晓亭. 图书馆大数据平台多维度敏感数据保护研究[J]. 图书馆, 2017(2):70-75.
[12] MANSFIELD-DEVINE S. Masking sensitive data[J]. Network Security, 2014,2014(10):17-20.
[13] CHEN Y M, HONG Y, PARDO T A. Integrating data masking standards and applications into open government data[C]// Proceedings of the 15th IFIP WG 8.5 International Conference on Electronic Government and Electronic Participation. 2016:384-385.
[14] KUACHAROEN P. Combination of data masking and data encryption for cloud database[J]. Applied Mechanics and Materials, 2014,571-572:617-620.
[15] 刘雅辉,张铁赢,靳小龙,等. 大数据时代的个人隐私保护[J]. 计算机研究与发展, 2015,52(1):229-247.
[16] 孙彤. 浅析数据库加密技术及其应用[J]. 无线互联科技, 2017(8):133-134.
[17] 朱永振. 数据库加密技术及其应用研究[J]. 物联网技术, 2016,6(3):52-53.
[18] 向永谦,宋智琪,王天宇. 一种基于双明文的数据对称加密算法[J]. 信息网络安全, 2018,18(7):69-78.
[19] 李刚彪. 数据库加密技术的研究与实现[D]. 太原:太原理工大学, 2010.
[20] 赵凯,胡云琴. Rijndael加密算法的原理分析[J]. 网络安全技术与应用, 2015(4):14-15.
[21] 张建莉. RSA加密算法加密与解密过程解析[J]. 农业网络信息, 2017(4):106-108.
[22] 张永建. RSA算法和SM2算法的研究[D]. 赣州:江西理工大学, 2015.
[23] 姜日敏. 电信运营商数据脱敏系统建设方案探讨[J]. 中国科技信息, 2014(8):132-133.