Detecting Sybils in Peer-to-Peer Overlays Using Psychometric Analysis Methods

Author

Haribabu, K. ; Paul, Arindam ; Hota, Chittaranjan

Author_Institution

Comput. Sci. & Inf. Syst., Birla Inst. of Technol. & Sci., Pilani, India

fYear

2011

fDate

22-25 March 2011

Firstpage

114

Lastpage

119

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.

Keywords

Internet; computer network security; peer-to-peer computing; telecommunication network routing; telecommunication network topology; CAPTCHA; Internet; P2P networks; Sybil attacks; Sybil groups; Sybils detection; application-level logical networks; color tests; file sharing media; peer to peer networks; peer-to-peer overlays; psychometric analysis methods; psychometric tests; Color; Image color analysis; Indexes; Peer to peer computing; Protocols; Psychology; Testing; P2P Networks; Psychometric Analysis; Sybil Detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Information Networking and Applications (WAINA), 2011 IEEE Workshops of International Conference on

Conference_Location

Biopolis

Print_ISBN

978-1-61284-829-7

Electronic_ISBN

978-0-7695-4338-3

Type

conf

DOI

10.1109/WAINA.2011.107

Filename

5763448