GAUR: a method to detect Sybil groups in peer-to-peer overlays

Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/8236

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DC Field	Value	Language
dc.contributor.author	Haribabu, K	-
dc.date.accessioned	2023-01-03T04:18:20Z	-
dc.date.available	2023-01-03T04:18:20Z	-
dc.date.issued	2012	-
dc.identifier.issn	https://www.inderscience.com/info/inarticle.php?artid=47765	-
dc.identifier.uri	http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8236	-
dc.description.abstract	Sybil attack is an important problem as the peer-to-peer networks grow in size and become prominent means for distributing multimedia. In order to validate the feasibility of using psychometric tests as an approach to detect Sybils in their entirety as Sybil groups, an experiment is conducted by taking the tests on a population of considerable size. Selected people were given multiple questionnaires corresponding to multiple identities in the network. The survey data is analysed using DBSCAN clustering algorithm using several metrics. The results show that 75% of the Sybil groups were detected with 67% completeness.	en_US
dc.language.iso	en	en_US
dc.publisher	Inder Science	en_US
dc.subject	Computer Science	en_US
dc.subject	Peer-to-peer networks	en_US
dc.subject	P2P networks	en_US
dc.subject	Network security	en_US
dc.subject	Sybil attacks	en_US
dc.subject	Psychometric tests	en_US
dc.subject	Clustering algorithms	en_US
dc.title	GAUR: a method to detect Sybil groups in peer-to-peer overlays	en_US
dc.type	Article	en_US
Appears in Collections:	Department of Computer Science and Information Systems

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