Author Type

Graduate Student

Date of Award

2007

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Wu, Jie

Abstract

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.

Extent

72 p.

Comments

College of Engineering and Computer Science|Thesis (M.S.)--Florida Atlantic University, 2007.|FAU Electronic Theses and Dissertations Collection|College of Engineering and Computer Science

Identifier

FA00012539

Format

pdf

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