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Computer Networks
Article
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Computer Networks
Article . 2011 . Peer-reviewed
License: Elsevier TDM
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DBLP
Article . 2011
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Collusion in peer-to-peer systems

Authors: Ciccarelli, Gianluca; Lo Cigno, Renato Antonio;

Collusion in peer-to-peer systems

Abstract

P2P systems are used to provide distributed storage, file sharing, video streaming, distributed gaming, and other applications based on the collaboration of participating peers and on the observation that sharing resources used sporadically leads to huge savings. The operation of a P2P system, as well as its sheer survival, however, is open to many kinds of attacks, which are tough to fight due to both the decentralized nature of P2P applications, and the lack, in some of them, of a central authority, or of a well-defined structure, or both. Particularly, as P2P systems require the active collaboration of the participants beyond their selfish interest, many systems include methods designed to lure the most resourceful users into broader participation, to provide an overall better service. The methods devised to attract the contribution of users are unfortunately vulnerable to a particular class of attacks: collusion. Collusion is broadly defined as any malicious coordinated behavior of a group of users aimed at gaining undeserved benefits, or at damaging (some) well behaved users. In this paper, we survey the literature on P2P systems security with specific attention to collusion, to find out how they resist to such attacks and what solutions can be used, e.g., game theory, to further counter this problem and give P2P systems the possibility of developing into full fledged services of the future Internet.

Country
Italy
Related Organizations
Keywords

Collusion; Game theory; Peer-to-peer networks; Security

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    27
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Top 10%
bronze