大数据 ›› 2021, Vol. 7 ›› Issue (6): 53-66.doi: 10.11959/j.issn.2096-0271.2021060

• 专题:大数据支撑的智能应用 • 上一篇    

大数据认知计算在内容安全管控中的应用

杜雪涛   

  1. 中国移动通信集团设计院有限公司,北京 100080
  • 出版日期:2021-11-01 发布日期:2021-11-01
  • 作者简介:杜雪涛(1973- ),女,中国移动通信集团设计院有限公司网络规划与设计优化研发中心网信安全产品部教授级高级工程师,主要从事网络与信息安全研究工作

Applications of big data cognitive computing in content security governance

Xuetao DU   

  1. China Mobile Group Design Institute Co., Ltd., Beijing 100080, China
  • Online:2021-11-01 Published:2021-11-01

摘要:

通信网络中存在海量垃圾和不良信息,这些信息需要被阅读和理解,以便对其进行有效的特征提取和拦截封堵。基于人工分析的方法已经无法达到目的,需要使用基于大数据的认知计算技术代替人工进行海量的数据分析和理解,帮助人们制订内容安全管控策略。针对电信诈骗治理、不良消息治理、变体消息治理和不良网站治理4个方面遇到的实际问题,分别提出了大数据认知计算的解决方案,并给出了创新性实践的效果。实践表明,提出的解决方案能够快速发现不良信息,有效地提升内容管控质量。

关键词: 大数据, 认知计算, 内容安全, 诈骗识别

Abstract:

In the communication network, there is a mass of bad information needed to be read and understood to extract useful knowledge and features for governance.Methods based on manual analysis can not achieve this goal.It is necessary to adopt the big-data-based cognitive computing technology to help to understand massive data and customize content security strategies.Aiming at four practical problems including telecommunication fraud governance, bad message governance, variant message governance and bad website governance, the big data cognitive computing solutions were put forward, and the practical results were given.The results show that the solutions could find the bad information quickly, and improve the quality of the content security governance effectively.

Key words: big data, cognitive computing, content security, fraud detection

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