基于人工智能的网站内容安全策略研究  

Research on website content security strategy based on artificial intelligence

作　　者：李飘 曾君 LI Piao;ZENG Jun(Chongging Institute of Telecommunications,Chongqing 401336,China;ChengYu Academy of Information and Communications Technology Co.,Ltd.,Chengdu 610299,China)

机构地区：[1]重庆信息通信研究院,重庆401336 [2]成渝(成都)信息通信研究院有限公司,四川成都610299

出　　处：《通信与信息技术》2023年第4期108-112,共5页Communication & Information Technology

摘　　要：针对网站内容安全,通过智能图像识别技术、目标检测技术、样例图片匹配技术、自然语义处理技术等分析网站内容安全事件,提出了人工智能深度学习策略,并通过建立多层卷积神经网络架构模型,设计了网站内容安全监测解决方案。Aiming at website content security,inteligent image recognition technology,target detection technology,sample picture matching technology,natural semantic processing technology and so on are used to analyze website content security events.In this paper,artificial intelligence deep learning strategy is proposed,and a website content security monitoring solution is designed by building a multi-layer convolutional neural network architecture model.

关 键 词：卷积神经网络 图像识别 目标检测 自然语义处理 

分 类 号：TN915.63[电子电信—通信与信息系统]