Abstract | ||
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Tagging systems are known to be particularly vulnerable to tag spam. Due to the self-organization and self-maintenance nature of Peer-to-Peer (P2P) overlay networks, users in the P2P tagging systems are more vulnerable to tag spam than the centralized ones. This paper proposes SpamResist, a novel social reliability-based mechanism. For each tag search, SpamResist client groups the search respondents into two categories, namely unfamiliar peers and interacted peers according to the fact whether the client has interacted with such respondents. For the two different categories of peers, the client computes their reliability degrees, and then utilizes these reliability degrees as weights to rank search results. To obtain higher quality search results, we propose a socially-enhanced mechanism, considering social friends can share their previous experience and help improve both the performance and convergence of SpamResist. Finally, the experimental results illustrate that SpamResist can effectively defend against tag spam and work better than the existing search models in P2P tagging systems. |
Year | DOI | Venue |
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2009 | 10.1109/GLOCOM.2009.5425801 | GLOBECOM |
Keywords | Field | DocType |
tag search,social reliability-based mechanism,search respondent,existing search model,p2p tagging system,peer-to-peer tagging systems,peer-to-peer tagging system,higher quality search result,reliability degree,tag spam,unsolicited e-mail,spam-resist client group,interacted peer,peer-to-peer computing,search result,spam,spamresist mechanism,security of data,overlay network,p2p,self organization,correlation,reliability | World Wide Web,Peer-to-peer,Computer science,Computer network,Peer to peer computing,Software,Overlay network | Conference |
ISSN | ISBN | Citations |
1930-529X | 978-1-4244-4148-8 | 0 |
PageRank | References | Authors |
0.34 | 12 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ennan Zhai | 1 | 100 | 19.42 |
Ruichuan Chen | 2 | 205 | 18.95 |
Eng Keong Lua | 3 | 892 | 45.81 |
Long Zhang | 4 | 4 | 1.09 |
Huiping Sun | 5 | 40 | 8.68 |
Zhuhua Cai | 6 | 90 | 7.48 |
Sihan Qing | 7 | 620 | 91.02 |
Zhong Chen | 8 | 503 | 58.35 |