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Image Recognition Model of Fraudulent Websites Based on Image Leader Decision and Inception-V3 Transfer Learning
《China Communications》2024年第1期215-227,共13页Shengli Zhou Cheng Xu Rui Xu Weijie Ding Chao Chen Xiaoyang Xu 
supported by the National Social Science Fund of China(23BGL272)。
The fraudulent website image is a vital information carrier for telecom fraud.The efficient and precise recognition of fraudulent website images is critical to combating and dealing with fraudulent websites.Current re...
关键词：fraudulent website image leaders telecom fraud transfer learning 
Multimodal Fraudulent Website Identification Method Based on Heterogeneous Model Ensemble
《China Communications》2023年第5期263-274,共12页Shengli Zhou Linqi Ruan Qingyang Xu Mincheng Chen 
supported by Zhejiang Provincial Natural Science Foundation of China(Grant No.LGF20G030001);Ministry of Public Security Science and Technology Plan Project(2022LL16);Key scientific research projects of agricultural and social development in Hangzhou in 2020(202004A06).
The feature analysis of fraudulent websites is of great significance to the combat,prevention and control of telecom fraud crimes.Aiming to address the shortcomings of existing analytical approaches,i.e.single dimensi...
关键词：telecom fraud crime fraudulent website data fusion deep learning 
User Behaviors Analysis in Website Identification Registration被引量：1
《China Communications》2013年第3期76-81,共6页甘曈 林福宏 陈常嘉 郭宇春 郑毅 
supported by the Foundation for Key Program of Ministry of Education, China under Grant No.311007;National Science Foundation Project of China under Grants No. 61202079, No.61170225, No.61271199;the Fundamental Research Funds for the Central Universities under Grant No.FRF-TP-09-015A;the Fundamental Research Funds in Beijing Jiaotong University under Grant No.W11JB00630
Nowadays, an increasing number of web applications require identification registration. However, the behavior of website registration has not ever been thoroughly studied. We use the database provided by the Chinese S...
关键词：user behaviors website identifi- cation COMPLEXITY CORRELATION PREFERENCE 
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