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《Journal of Lanzhou University of Arts and Science(Natural Science Edition)》 2019-03
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Lightweight Abnormal Account Detection Scheme Based on Body-shadow Relation

LI Hai-xia;ZHANG Yong-gan;School of Information Engineering, Putian University;  
In view of the shortcomings of existing anomaly account detection schemes in social networks, this paper discusses anomaly account detection schemes in social networks from the perspective of Pan-system shadow relations, and proposes lightweight anomaly account detection schemes based on shadow relations and multi-dimensional detection schemes combined with time dimension, which greatly reduces the detection workload.
【Fund】: 福建省中青年教师教育科研项目(JA15456);; 莆田学院科研基金项目(2016040);莆田学院教育教学改革研究项目(JG201649)
【CateGory Index】: TP393.08;G206
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Chinese Journal Full-text Database 2 Hits
1 ZHANG Yu-Qing;LV Shao-Qing;FAN Dan;State Key Laboratory of Integrated Services Networks,Xidian University;National Computer Network Intrusion Protection Center,University of Chinese Academy of Sciences;State Key Laboratory of Information Security,Institute of Information Engineering,Chinese Academy of Sciences;;Anomaly Detection in Online Social Networks[J];计算机学报;2015-10
2 LI Hai-xia;ZHANG Yong-gan;College of Information and Engineering,Putian University;;Attribute reduction based on pansystems body-shadow relation[J];闽江学院学报;2013-05
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