Lightweight detection system of shared spam attacks
Spam is one of the most serious attacks against online social networks (OSN).Recently a new type of spam attack occurs,which named shared spam attack.The shared spam attack can separate the storage and dissemination of spam content,making the existing detection systems no longer effective.To address...
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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.2015144/ |
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| _version_ | 1841539686204440576 |
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| author | Shao-qing LV Dan FAN Yu-qing ZHANG |
| author_facet | Shao-qing LV Dan FAN Yu-qing ZHANG |
| author_sort | Shao-qing LV |
| collection | DOAJ |
| description | Spam is one of the most serious attacks against online social networks (OSN).Recently a new type of spam attack occurs,which named shared spam attack.The shared spam attack can separate the storage and dissemination of spam content,making the existing detection systems no longer effective.To address this problem,an empirical analysis of the process and properties of this new spam attack is performed.A novel lightweight iterative detection algorithm (LIDA) is proposed to detect spam accounts in OSN with these properties.LIDA contains two steps:target filter and content detection.It also noteworthy that LIDA is a lightweight algorithm to infer more spam accounts by exploiting spam accounts’ sharing instead of scanning or analyzing all accounts.Experimental results in RenRen,which has successfully detected 9 568 spam accounts,30 732 spam albums and 2 626 780 spam URL in four round iterations,indicate that LIDA is effective and efficiency in detecting shared spam accounts. |
| format | Article |
| id | doaj-art-c583ef7744cf43b59cdb87cfe55cbe35 |
| 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-c583ef7744cf43b59cdb87cfe55cbe352025-01-14T06:46:44ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-07-0136809159694131Lightweight detection system of shared spam attacksShao-qing LVDan FANYu-qing ZHANGSpam is one of the most serious attacks against online social networks (OSN).Recently a new type of spam attack occurs,which named shared spam attack.The shared spam attack can separate the storage and dissemination of spam content,making the existing detection systems no longer effective.To address this problem,an empirical analysis of the process and properties of this new spam attack is performed.A novel lightweight iterative detection algorithm (LIDA) is proposed to detect spam accounts in OSN with these properties.LIDA contains two steps:target filter and content detection.It also noteworthy that LIDA is a lightweight algorithm to infer more spam accounts by exploiting spam accounts’ sharing instead of scanning or analyzing all accounts.Experimental results in RenRen,which has successfully detected 9 568 spam accounts,30 732 spam albums and 2 626 780 spam URL in four round iterations,indicate that LIDA is effective and efficiency in detecting shared spam accounts.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015144/online social networksSpam based on sharingSpam detectionRenRen |
| spellingShingle | Shao-qing LV Dan FAN Yu-qing ZHANG Lightweight detection system of shared spam attacks Tongxin xuebao online social networks Spam based on sharing Spam detection RenRen |
| title | Lightweight detection system of shared spam attacks |
| title_full | Lightweight detection system of shared spam attacks |
| title_fullStr | Lightweight detection system of shared spam attacks |
| title_full_unstemmed | Lightweight detection system of shared spam attacks |
| title_short | Lightweight detection system of shared spam attacks |
| title_sort | lightweight detection system of shared spam attacks |
| topic | online social networks Spam based on sharing Spam detection RenRen |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015144/ |
| work_keys_str_mv | AT shaoqinglv lightweightdetectionsystemofsharedspamattacks AT danfan lightweightdetectionsystemofsharedspamattacks AT yuqingzhang lightweightdetectionsystemofsharedspamattacks |