Detecting Sybils in Peer-to-Peer Overlays Using Psychometric Analysis Methods
| dc.contributor.author | Haribabu, K | |
| dc.date.accessioned | 2023-01-03T09:49:57Z | |
| dc.date.available | 2023-01-03T09:49:57Z | |
| dc.date.issued | 2011 | |
| dc.description.abstract | Peer to peer networks are fast becoming the most popular file sharing media, guaranteeing complete user anonymity to the clients. However, modern P2P networks suffer from Sybil attacks, which forge multiple identities to influence the global decisions in the network. This paper suggests a novel solution to minimize Sybils influence using unique combination of Psychometric Tests, Color Tests & CAPTCHAs. Our survey has shown that the proposed approach is promising in detecting not just Sybils but Sybil groups. The results have shown that 30-50% of Sybil groups are detected. | en_US |
| dc.identifier.uri | https://ieeexplore.ieee.org/document/5763448 | |
| dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8258 | |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | P2P networks | en_US |
| dc.subject | Sybil Detection | en_US |
| dc.subject | Psychometric Analysis | en_US |
| dc.title | Detecting Sybils in Peer-to-Peer Overlays Using Psychometric Analysis Methods | en_US |
| dc.type | Article | en_US |
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