中国科学院计算技术研究所 北京 100190
[ "许洪波,男,博士,中国科学院计算技术研究所副研究员、硕士生导师,主要研究方向为互联网挖掘与搜索、大数据分析与计算等。" ]
[ "陈波,男,中国科学院计算技术研究所研究实习员,主要研究方向为大数据计算。" ]
网络首发:2015-11,
纸质出版:2015-11-20
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许洪波, 陈波. 面向国防安全的网络大数据分析与应用系统[J]. 大数据, 2015,1(4):21-29.
Hongbo Xu, Bo Chen. Network Big Data Analysis and Application Systems for National Defense Security[J]. BIG DATA RESEARCH, 2015, 1(4): 21-29.
许洪波, 陈波. 面向国防安全的网络大数据分析与应用系统[J]. 大数据, 2015,1(4):21-29. DOI: 10.11959/j.issn.2096-0271.2015038.
Hongbo Xu, Bo Chen. Network Big Data Analysis and Application Systems for National Defense Security[J]. BIG DATA RESEARCH, 2015, 1(4): 21-29. DOI: 10.11959/j.issn.2096-0271.2015038.
在调研国内外大数据分析与应用研究现状的基础上,针对国防安全领域现有业务体系中存在的数据碎片化、不规范、难共享等突出问题,提出面向国防安全的网络大数据分析与应用方案,将国防安全现实需求与大数据技术有机结合,既能够发挥大数据技术在多源异构数据融合、深层次安全信息挖掘、打破信息孤岛实现广泛共享等方面的优势,又能够适应现有的业务体系,快速产生实际效果。最后,对面向国防安全的网络大数据挖掘和分析相关技术进行了系统性介绍。
Based on the state of the art of big data research
a national security-oriented network big data analysis and application system was proposed
against existing problems of national security systems
such as data fragmentation
nonstandard
difficult to share
and so on.In this system
the current national security requirements and big data technologies were organic combined.It could not only play the advantages of big data technology in multi-source heterogeneous data fusion
deeply mining security information
and breaking information island
but also share the advantages of the existing business architecture and quickly producing the actual effect.Finally
a systematic introduction to the national security-oriented network big data mining and analysis technologies was given.
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