摘要
随着互联网和人工智能的发展,电信网络诈骗犯罪处于高发态势,严重危害人民群众的财产安全。电信网络诈骗犯罪的防范和治理不仅受到了国家和学者的重视,而且成为了网络安全研究热点。首先介绍了基于诈骗电话、诈骗信息数据的电信网络诈骗防范研究现状;其次介绍了关于诈骗网站和恶意网站识别的研究现状;最后基于目前电信网络诈骗犯罪预防的需求,分析深度学习和大语言模型性能优势,对未来诈骗网站识别的可研究方向进行了探讨和展望。
With the development of the Internet and artificial intelligence,telecom network fraud crimes are at a high rate,seriously endangering people's property security.The prevention and control of telecom network fraud crimes have not only attracted the attention of the countries and scholars,but also become a hot spot in network security research.The current research status of telecom network fraud prevention is firstly introduced based on fraudulent calls and fraud information data.Secondly,the current research status of fraud website and malicious website identification is described.Finally,based on the current needs of crime prevention in telecom network fraud,the performance advantages of deep learning and large language model are analyzed,and the research directions for future fraud website identification are discussed and prospected.
作者
魏嘉迪
赵晓凡
陈丽
宋震
WEI Jiadi;ZHAO Xiaofan;CHEN Li;SONG Zhen(School of Information and Cyber Security,People's Public Security University of China,Beijing 102623,China;Zhengzhou Public Security Bureau,Zhengzhou 450000,China)
出处
《中国人民公安大学学报（自然科学版）》
2024年第2期102-108,共7页
Journal of People’s Public Security University of China(Science and Technology)
基金
中国人民公安大学网络空间安全执法技术双一流创新研究专项(2023SYL07)。
关键词
电信网络诈骗
犯罪治理
网站识别
深度学习
大语言模型
telecom network fraud
crime governance
website identification
deep learning
large lan⁃guage model
