Analysis on malicious peer's behavior of the P2P trust resource chain model

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dc.contributor.authorLee, Sinjaeko
dc.contributor.authorZhu, Shaojianko
dc.contributor.authorKim, Yanggonko
dc.contributor.authorChang, Junoko
dc.date.accessioned2019-07-24T01:20:04Z-
dc.date.available2019-07-24T01:20:04Z-
dc.date.created2019-07-23-
dc.date.created2019-07-23-
dc.date.created2019-07-23-
dc.date.issued2008-
dc.identifier.citationStudies in Computational Intelligence, v.149, pp.89 - 102-
dc.identifier.issn1860-949X-
dc.identifier.urihttp://hdl.handle.net/10203/263765-
dc.description.abstractA malicious peer's behavior is one of the most challenging research areas of the P2P world. Our previous reputation-based trust model approach, which is based on the resource chain model (RCM), prevents malicious peers from spreading malicious contents among the open community. Moreover, a study on the malicious behavior over P2P community leads us to recognize a malicious node. The purpose of this paper is to identify malicious nodes based on the new resource chain model. In addition, the research includes the analysis of behavior of malicious peers on P2P networks. The study on various malicious behavior strengthens the existing resource chain model and allows us to keep P2P network much more reliable and stable. ?? 2008 Springer-Verlag Berlin Heidelberg.-
dc.languageEnglish-
dc.publisherSpringer Verlag-
dc.titleAnalysis on malicious peer's behavior of the P2P trust resource chain model-
dc.typeArticle-
dc.identifier.scopusid2-s2.0-52049120827-
dc.type.rimsART-
dc.citation.volume149-
dc.citation.beginningpage89-
dc.citation.endingpage102-
dc.citation.publicationnameStudies in Computational Intelligence-
dc.identifier.doi10.1007/978-3-540-70560-4_8-
dc.contributor.localauthorLee, Sinjae-
dc.contributor.nonIdAuthorZhu, Shaojian-
dc.contributor.nonIdAuthorKim, Yanggon-
dc.contributor.nonIdAuthorChang, Juno-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
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