GAUR: a method to detect Sybil groups in peer-to-peer overlays. (1st January 2012)
- Record Type:
- Journal Article
- Title:
- GAUR: a method to detect Sybil groups in peer-to-peer overlays. (1st January 2012)
- Main Title:
- GAUR: a method to detect Sybil groups in peer-to-peer overlays
- Authors:
- Haribabu, K.
Hota, Chittaranjan
Paul, Arindam - 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, 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.
- Is Part Of:
- International journal of grid and utility computing. Volume 3:Number 2/3(2012)
- Journal:
- International journal of grid and utility computing
- Issue:
- Volume 3:Number 2/3(2012)
- Issue Display:
- Volume 3, Issue 2/3 (2012)
- Year:
- 2012
- Volume:
- 3
- Issue:
- 2/3
- Issue Sort Value:
- 2012-0003-NaN-0000
- Page Start:
- 145
- Page End:
- 156
- Publication Date:
- 2012-01-01
- Subjects:
- peer-to-peer -- security -- Sybil attack -- psychometric tests -- Luscher Colour test -- MBTI -- Clustering
Electronic data processing -- Distributed processing -- Periodicals
Electronic commerce -- Management -- Computer programs -- Periodicals
004.605 - Journal URLs:
- http://www.inderscience.com/ ↗
http://www.inderscience.com/jhome.php?jcode=ijguc ↗ - Languages:
- English
- ISSNs:
- 1741-847X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 8671.xml