Interaction based on method for spam detection in online social networks
In online social networks,advertisements,rumors and malicious links are propagated by spammers arbitrarily.They not only disturb users’usualaccess,but also bring about network security threats and social panics.In an attempt to deal with the spam problems,an information diffusion model was proposed...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2015-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015156/ |
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| _version_ | 1841539641528811520 |
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| author | Kan CHEN Liang CHEN Pei-dong ZHU Yue-shan XIONG |
| author_facet | Kan CHEN Liang CHEN Pei-dong ZHU Yue-shan XIONG |
| author_sort | Kan CHEN |
| collection | DOAJ |
| description | In online social networks,advertisements,rumors and malicious links are propagated by spammers arbitrarily.They not only disturb users’usualaccess,but also bring about network security threats and social panics.In an attempt to deal with the spam problems,an information diffusion model was proposed to capture the features of spam propagation.Propagation behaviors are quantitatively analyzed to detect spam messages with a decision tree-based method.The effectiveness of proposed detection model is evaluated with real data from the micro-bloggingnetwork of Sina.The experimental results show that proposed model can effectively detect spams in Sina micro-bloggingnetwork. |
| format | Article |
| id | doaj-art-2ea2a9e644f74bc498c6aa2102ebb220 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2015-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-2ea2a9e644f74bc498c6aa2102ebb2202025-01-14T06:46:46ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-07-013612012859694311Interaction based on method for spam detection in online social networksKan CHENLiang CHENPei-dong ZHUYue-shan XIONGIn online social networks,advertisements,rumors and malicious links are propagated by spammers arbitrarily.They not only disturb users’usualaccess,but also bring about network security threats and social panics.In an attempt to deal with the spam problems,an information diffusion model was proposed to capture the features of spam propagation.Propagation behaviors are quantitatively analyzed to detect spam messages with a decision tree-based method.The effectiveness of proposed detection model is evaluated with real data from the micro-bloggingnetwork of Sina.The experimental results show that proposed model can effectively detect spams in Sina micro-bloggingnetwork.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015156/spamdetectioninteractioninformation diffusiononline social network |
| spellingShingle | Kan CHEN Liang CHEN Pei-dong ZHU Yue-shan XIONG Interaction based on method for spam detection in online social networks Tongxin xuebao spam detection interaction information diffusion online social network |
| title | Interaction based on method for spam detection in online social networks |
| title_full | Interaction based on method for spam detection in online social networks |
| title_fullStr | Interaction based on method for spam detection in online social networks |
| title_full_unstemmed | Interaction based on method for spam detection in online social networks |
| title_short | Interaction based on method for spam detection in online social networks |
| title_sort | interaction based on method for spam detection in online social networks |
| topic | spam detection interaction information diffusion online social network |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015156/ |
| work_keys_str_mv | AT kanchen interactionbasedonmethodforspamdetectioninonlinesocialnetworks AT liangchen interactionbasedonmethodforspamdetectioninonlinesocialnetworks AT peidongzhu interactionbasedonmethodforspamdetectioninonlinesocialnetworks AT yueshanxiong interactionbasedonmethodforspamdetectioninonlinesocialnetworks |