Spammer detection technology of social network based on graph convolution network
In social networks,Spammer send advertisements that are useless to recipients without the recipient's permission,seriously threatening the information security of normal users and the credit system of social networking sites.In order to solve problems of extracting the shallow features and high...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
POSTS&TELECOM PRESS Co., LTD
2018-05-01
|
| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018042 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841530141282402304 |
|---|---|
| author | Qiang QU Hongtao YU Ruiyang HUANG |
| author_facet | Qiang QU Hongtao YU Ruiyang HUANG |
| author_sort | Qiang QU |
| collection | DOAJ |
| description | In social networks,Spammer send advertisements that are useless to recipients without the recipient's permission,seriously threatening the information security of normal users and the credit system of social networking sites.In order to solve problems of extracting the shallow features and high computational complexity for the existing Spammer detection methods of social networks,a Spammer detection technology based on graph convolutional network(GCN) was proposed.Based on the network structure information,the method introduces the network representation learning algorithm to extract the network local structure feature,and combines the GCN algorithm under the re-regularization technology condition to obtain the network global structure feature to achieve the goal of detecting Spammer.Experiments are done on social network data of Tagged.com.The results show that this method has high accuracy and efficiency. |
| format | Article |
| id | doaj-art-7bbbb9e6ac8544dcb4ee5594707433b6 |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2018-05-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-7bbbb9e6ac8544dcb4ee5594707433b62025-01-15T03:12:47ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2018-05-014394659553294Spammer detection technology of social network based on graph convolution networkQiang QUHongtao YURuiyang HUANGIn social networks,Spammer send advertisements that are useless to recipients without the recipient's permission,seriously threatening the information security of normal users and the credit system of social networking sites.In order to solve problems of extracting the shallow features and high computational complexity for the existing Spammer detection methods of social networks,a Spammer detection technology based on graph convolutional network(GCN) was proposed.Based on the network structure information,the method introduces the network representation learning algorithm to extract the network local structure feature,and combines the GCN algorithm under the re-regularization technology condition to obtain the network global structure feature to achieve the goal of detecting Spammer.Experiments are done on social network data of Tagged.com.The results show that this method has high accuracy and efficiency.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018042cyberspace securitySpammer detectionnetwork representation learningGCN |
| spellingShingle | Qiang QU Hongtao YU Ruiyang HUANG Spammer detection technology of social network based on graph convolution network 网络与信息安全学报 cyberspace security Spammer detection network representation learning GCN |
| title | Spammer detection technology of social network based on graph convolution network |
| title_full | Spammer detection technology of social network based on graph convolution network |
| title_fullStr | Spammer detection technology of social network based on graph convolution network |
| title_full_unstemmed | Spammer detection technology of social network based on graph convolution network |
| title_short | Spammer detection technology of social network based on graph convolution network |
| title_sort | spammer detection technology of social network based on graph convolution network |
| topic | cyberspace security Spammer detection network representation learning GCN |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018042 |
| work_keys_str_mv | AT qiangqu spammerdetectiontechnologyofsocialnetworkbasedongraphconvolutionnetwork AT hongtaoyu spammerdetectiontechnologyofsocialnetworkbasedongraphconvolutionnetwork AT ruiyanghuang spammerdetectiontechnologyofsocialnetworkbasedongraphconvolutionnetwork |