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Predicting the Impact of Measures Against P2P Networks: Transient Behavior and Phase Transition

Abstract : The paper has two objectives. The first is to study rigorously the transient behavior of some peer-to-peer (P2P) networks whenever information is replicated and disseminated according to epidemic-like dynamics. The second is to use the insight gained from the previous analysis in order to predict how efficient are measures taken against P2P networks. We first introduce a stochastic model which extends a classical epidemic model, and characterize the P2P swarm behavior in presence of free riding peers. We then study a second model in which a peer initiates a contact with another peer chosen randomly. In both cases the network is shown to exhibit phase transitions: a small change in the parameters causes a large change in the behavior of the network. We show, in particular, how phase transitions affect measures of content providers against P2P networks that distribute non-authorized music, books or articles, and what is the efficiency of countermeasures. In addition, our analytical framework can be generalized to characterize the heterogeneity of cooperative peers.
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Contributor : Eitan Altman <>
Submitted on : Monday, February 15, 2016 - 7:05:20 PM
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Eitan Altman, Philippe Nain, Adam Shwartz, Yuedong Xu. Predicting the Impact of Measures Against P2P Networks: Transient Behavior and Phase Transition. IEEE/ACM Transactions on Networking, IEEE/ACM, 2013, 21 (3), pp.935 - 949. ⟨10.1109/TNET.2012.2217505⟩. ⟨hal-01274492⟩



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