Research progress of abnormal user detection technology in social network
In social networks,the problem of anomalous users detection is one of the key problems in network security research.The anomalous users conduct false comments,cyberbullying or cyberattacks by creating multiple vests,which seriously threaten the information security of normal users and the credit sys...
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2018-03-01
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| 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.2018025 |
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| _version_ | 1841530155381555200 |
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| 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,the problem of anomalous users detection is one of the key problems in network security research.The anomalous users conduct false comments,cyberbullying or cyberattacks by creating multiple vests,which seriously threaten the information security of normal users and the credit system of social networks ,so a large number of researchers conducted in-depth study of the issue.The research results of the issue in recent years were reviewed and an overall structure was summarized.The data collection layer introduces the data acquisition methods and related data sets,and the feature presentation layer expounds attribute features,content features,network features,activity features and auxiliary features.The algorithm selection layer introduces supervised algorithms,unsupervised algorithms and graph algorithms.The result evaluation layer elaborates the method of data annotation method and index.Finally,the future research direction in this field was looked forward. |
| format | Article |
| id | doaj-art-9f3106e6053a444f83e2c33ebf7b0d6f |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2018-03-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-9f3106e6053a444f83e2c33ebf7b0d6f2025-01-15T03:12:36ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2018-03-014132359552879Research progress of abnormal user detection technology in social networkQiang QUHongtao YURuiyang HUANGIn social networks,the problem of anomalous users detection is one of the key problems in network security research.The anomalous users conduct false comments,cyberbullying or cyberattacks by creating multiple vests,which seriously threaten the information security of normal users and the credit system of social networks ,so a large number of researchers conducted in-depth study of the issue.The research results of the issue in recent years were reviewed and an overall structure was summarized.The data collection layer introduces the data acquisition methods and related data sets,and the feature presentation layer expounds attribute features,content features,network features,activity features and auxiliary features.The algorithm selection layer introduces supervised algorithms,unsupervised algorithms and graph algorithms.The result evaluation layer elaborates the method of data annotation method and index.Finally,the future research direction in this field was looked forward.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018025social networkanomalous users detectioncyber security |
| spellingShingle | Qiang QU Hongtao YU Ruiyang HUANG Research progress of abnormal user detection technology in social network 网络与信息安全学报 social network anomalous users detection cyber security |
| title | Research progress of abnormal user detection technology in social network |
| title_full | Research progress of abnormal user detection technology in social network |
| title_fullStr | Research progress of abnormal user detection technology in social network |
| title_full_unstemmed | Research progress of abnormal user detection technology in social network |
| title_short | Research progress of abnormal user detection technology in social network |
| title_sort | research progress of abnormal user detection technology in social network |
| topic | social network anomalous users detection cyber security |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018025 |
| work_keys_str_mv | AT qiangqu researchprogressofabnormaluserdetectiontechnologyinsocialnetwork AT hongtaoyu researchprogressofabnormaluserdetectiontechnologyinsocialnetwork AT ruiyanghuang researchprogressofabnormaluserdetectiontechnologyinsocialnetwork |