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PeerVote: A Decentralized Voting Mechanism for P2P Collaboration Systems


Bocek, T; Peric, D; Hecht, F; Hausheer, D; Stiller, B (2009). PeerVote: A Decentralized Voting Mechanism for P2P Collaboration Systems. In: 3rd ACM/IFIP International Conference on Autonomous Infrastructure, Management and Security (AIMS 2009), Enschede, The Netherlands, 30 June 2009 - 2 July 2009, 56-69.

Abstract

Peer-to-peer (P2P) systems achieve scalability, fault tolerance, and load balancing with a low-cost infrastructure, characteristics from which collaboration systems, such as Wikipedia, can benefit. A major challenge in P2P collaboration systems is to maintain article quality after each modification in the presence of malicious peers. A way of achieving this goal is to allow modifications to take effect only if a majority of previous editors approve the changes through voting. The absence of a central authority makes voting a challenge in P2P systems.
This paper proposes the fully decentralized voting mechanism PeerVote, which enables users to vote on modifications in articles in a P2P collaboration system. Simulations and experiments show the scalability and robustness of PeerVote, even in the presence of malicious peers.

Abstract

Peer-to-peer (P2P) systems achieve scalability, fault tolerance, and load balancing with a low-cost infrastructure, characteristics from which collaboration systems, such as Wikipedia, can benefit. A major challenge in P2P collaboration systems is to maintain article quality after each modification in the presence of malicious peers. A way of achieving this goal is to allow modifications to take effect only if a majority of previous editors approve the changes through voting. The absence of a central authority makes voting a challenge in P2P systems.
This paper proposes the fully decentralized voting mechanism PeerVote, which enables users to vote on modifications in articles in a P2P collaboration system. Simulations and experiments show the scalability and robustness of PeerVote, even in the presence of malicious peers.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:2 July 2009
Deposited On:06 Jul 2009 07:32
Last Modified:06 Dec 2017 20:06
Publisher:Springer
Series Name:Lecture Notes in Computer Science
Number:5637
ISSN:0302-9743
ISBN:978-3-642-02626-3
Additional Information:The original publication is available at www.springerlink.com
Publisher DOI:https://doi.org/10.1007/978-3-642-02627-0_5
Official URL:http://www.springerlink.com/content/h570280177864528/

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