The trust management framework for peer-to-peer networks

dc.contributor.author Stakhanova, Natalia
dc.contributor.department Computer Science
dc.date 2020-08-21T23:11:21.000
dc.date.accessioned 2021-02-26T08:50:05Z
dc.date.available 2021-02-26T08:50:05Z
dc.date.copyright Thu Jan 01 00:00:00 UTC 2004
dc.date.issued 2004-01-01
dc.description.abstract <p>Popularity of peer-to-peer (P2P) networks exposed a number of security vulnerabilities. Among those is a problem of finding reliable communication partners. In this thesis, we present an integrated trust framework for peer-to-peer networks that quantifies the trustworthiness of a peer via reputation-based trust mechanism and anomaly detection techniques. As opposed to other known techniques in P2P networks, our trust management schema is fully decentralized and does not rely on the co-operation of peers. Furthermore, the reputation computation is based on traffic coming from other peers. We also describe an anomaly detection procedure that analyses peer activity on the network and flags potentially malicious behavior by detecting deviation from peer profile. We present integration of our anomaly detection to trust management scheme and study the performance of reputation-based approach using implementation and performance of trust framework through simulation.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/rtd/20276/
dc.identifier.articleid 21275
dc.identifier.contextkey 18970582
dc.identifier.doi https://doi.org/10.31274/rtd-20200817-69
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath rtd/20276
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/97643
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/rtd/20276/Stakhanova_ISU_2004_S73.pdf|||Fri Jan 14 22:22:23 UTC 2022
dc.subject.keywords Computer science
dc.title The trust management framework for peer-to-peer networks
dc.type article
dc.type.genre thesis
dspace.entity.type Publication
relation.isOrgUnitOfPublication f7be4eb9-d1d0-4081-859b-b15cee251456
thesis.degree.discipline Computer Science
thesis.degree.level thesis
thesis.degree.name Master of Science
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