摘要
调研了消息业务内容安全治理现状以及基于AI的消息业务内容安全治理的关键技术,并根据当前技术短板,提出了优化建议。根据消息业务网络架构特征,对短信和5G消息2种消息业务提出了不良消息治理的方案。通过AI辅助垃圾短信策略生成、异常电子信息提取、AI稽核拦截明细,赋能短信业务治理,通过构建AI能力基座,利用深度学习赋能5G消息治理。
It investigates the status quo of content security governance of message business and the key technologies of AI-based content security governance of message business,and puts forward optimization suggestions according to the shortcomings of current technologies.It proposes bad message governance schemes for SMS and 5G message services according to the architecture characteristics of message services.Through AI-assisted generation of spam SMS policies,extraction of abnormal electronic information,and AI auditing and interception details,SMS business governance is enabled.By building AI capability base,5G message governance is enabled by deep learning.
作者
赵晨斌
陈浩然
李善诗
李蔚然
Zhao Chenbin;Chen Haoran;Li Shanshi;Li Weiran(China United Network Communications Group Co.,Ltd.,Beijing 100033,China;China Information Technology Designing&Consulting Institute Co.,Ltd.,Beijing 100048,China)
出处
《邮电设计技术》
2024年第8期8-12,共5页
Designing Techniques of Posts and Telecommunications
关键词
短消息业务
富媒体消息业务
5G消息
内容安全治理
Short message service
Rich content service
5G messaging
Content security governance