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Improving Cooperation in P2P Networks: A Social Network Approach

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Date Issued:
2007
Abstract/Description:
Due to the dynamic nature of P2P systems, it is impossible to keep an accurate history of the transactions that take place while avoiding security attacks such as whitewashing and collusion, and abuse such as freeriding . This is why it is important to develop a mechanism that rewards cooperative peers and punishes misbehaving peers. Modeling P2P networks as social structures can allow incentive mechanisms to be used that prevent the negative behaviors mentioned. In this thesis, we extend a social network algorithm to include credit transfer between peers in order to reduce the path length of queries. We also develop a selection strategy that involves different aspects of peer interactions in P2P networks, which is promoted by our credit transfer mechanism that discourages misbehaving peers by taking away credits that they have with good peers and transferring them to more cooperative ones. The simulation results show that our algorithm is effective in reducing the debt between peers, meaning that peers become more cooperative, and shortening the average path length to a satisfied query while increasing delivery ratio.
Title: Improving Cooperation in P2P Networks: A Social Network Approach.
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Name(s): Ponce, Victor
Wu, Jie, Thesis advisor
Florida Atlantic University, Degree grantor
College of Engineering and Computer Science
Department of Computer and Electrical Engineering and Computer Science
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Date Created: 2007
Date Issued: 2007
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 72 p.
Language(s): English
Abstract/Description: Due to the dynamic nature of P2P systems, it is impossible to keep an accurate history of the transactions that take place while avoiding security attacks such as whitewashing and collusion, and abuse such as freeriding . This is why it is important to develop a mechanism that rewards cooperative peers and punishes misbehaving peers. Modeling P2P networks as social structures can allow incentive mechanisms to be used that prevent the negative behaviors mentioned. In this thesis, we extend a social network algorithm to include credit transfer between peers in order to reduce the path length of queries. We also develop a selection strategy that involves different aspects of peer interactions in P2P networks, which is promoted by our credit transfer mechanism that discourages misbehaving peers by taking away credits that they have with good peers and transferring them to more cooperative ones. The simulation results show that our algorithm is effective in reducing the debt between peers, meaning that peers become more cooperative, and shortening the average path length to a satisfied query while increasing delivery ratio.
Identifier: FA00012539 (IID)
Degree granted: Thesis (M.S.)--Florida Atlantic University, 2007.
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): College of Engineering and Computer Science
Subject(s): Peer-to-peer architecture (Computer networks)--Technological innovations
Social interaction
Network analysis (Planning)
Held by: Florida Atlantic University Libraries
Sublocation: Digital Library
Persistent Link to This Record: http://purl.flvc.org/fau/fd/FA00012539
Use and Reproduction: Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.