大数据安全能力实践

安全的目的是为了保障发展,如何衡量一个拥有数据的组织的数据安全保护能力是十分重要的。探讨了拥有数据的组织面临的数据安全问题及挑战,介绍了大数据环境下的数据安全发展趋势和完整的组织级数据安全能力框架,阐述了数据安全保护能力实现的路径及实践过程中可能遇到的难点。最后,以某互联网金融企业为例,分析了利用数据安全能力成熟度模型指导企业进行数据安全保护能力建设的过程和方法。...

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Bibliographic Details
Published in大数据 Vol. 3; no. 5; pp. 30 - 37
Main Author 杜跃进 郑斌
Format Journal Article
LanguageChinese
Published 人民邮电出版社有限公司 01.10.2017
阿里巴巴集团,浙江杭州,310013
Subjects
Online AccessGet full text
ISSN2096-0271
DOI10.11959/j.issn.2096-0271.2017049

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Summary:安全的目的是为了保障发展,如何衡量一个拥有数据的组织的数据安全保护能力是十分重要的。探讨了拥有数据的组织面临的数据安全问题及挑战,介绍了大数据环境下的数据安全发展趋势和完整的组织级数据安全能力框架,阐述了数据安全保护能力实现的路径及实践过程中可能遇到的难点。最后,以某互联网金融企业为例,分析了利用数据安全能力成熟度模型指导企业进行数据安全保护能力建设的过程和方法。
Bibliography:DU Yuejin, ZHENG Bin( Alibaba Group, Hangzhou 310013, China)
The purpose of security is to ensure development, and it is important to measure the data security capability of an organization. The security problems and challenges of data organization were discussed. The development trend of big data and data security capability framework were introduced. The path of data security capability implementation and difficulties in the process of practice were expounded. Take an internet financial enterprise as an example, the process and method of building data security capability by using data security capability maturity model were analyzed.
10-1321/G2
big data, security capability, maturity model, security management
ISSN:2096-0271
DOI:10.11959/j.issn.2096-0271.2017049