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作 者:余文杰 冯中华[1] 万抒[1] YU Wenjie;FENG Zhonghua;WAN Shu(No.30 Institute of CETC,Chengdu Sichuan 610041,China)
机构地区:[1]中国电子科技集团公司第三十研究所,四川成都610041
出 处:《通信技术》2022年第1期106-115,共10页Communications Technology
摘 要:随着大数据、人工智能和云计算等信息技术的发展,安全防护形势也越来越严峻,IT架构和服务模式不断发生变化,传统的安防体系面临着诸多问题。在继承传统的安全防护体系的基础上,提出了将大数据相关技术融入到安防体系中,并从数据接入层面、数据融合分析层面、数据服务层面出发,通过大数据等技术手段构建了安全数据中台,完善了安全防护技术体系。实践证明,该体系在结构上能够有效弥补传统安全防护架构的不足。With the development of information technologies such as big data, artificial intelligence and cloud computing, the security protection situation is becoming more and more severe. The IT architecture and service model are constantly changing, and the traditional security system is facing many problems. On the basis of inheriting the traditional security protection system, it is proposed to integrate big data related technologies into the security protection system to build data security middle platform. At the data access layer, secure data collection, cleaning, conversion, processing, processing, storage and other processes are realized;at the data governance layer, data assets are counted, data quality is managed, and data lifecycle management is implemented;at the data fusion analysis layer, Integrate resources such as security data,threat intelligence, security knowledge base, security analysis model, etc., to tap potential security threats;at the data service level, build a sharing channel of "vertical connection" and "horizontal interconnection"of data resources. Practice proved that the proposed system can effectively make up for the deficiencies of traditional security protection architecture in structure.
分 类 号:TN915.08[电子电信—通信与信息系统]
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