LiFTinG: Lightweight Freerider-Tracking Protocol in Gossip

Abstract : This report presents LiFTinG, the first protocol to detect freeriders, including colluding ones, in gossip-based content dissemination systems with asymmetric data exchanges. LiFTinG relies on nodes tracking abnormal behaviors by cross-checking the history of their previous interactions, and exploits the fact that nodes pick neighbors at random to prevent colluding nodes from covering up each others' bad actions. We present a methodology to set the parameters of LiFTinG based on a theoretical analysis. In addition to simulations, we report on the deployment of LiFTinG on PlanetLab. In a 300-node system, where a stream of 674 kbps is broadcast, LiFTinG incurs a maximum overhead of only 8% while providing good results: for instance, with 10% of freeriders decreasing their contribution by 30%, LiFTinG detects 86% of the freeriders after only 30 seconds and wrongfully expels only a few honest nodes.
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[Research Report] RR-6913, INRIA. 2010, pp.21
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  • HAL Id : inria-00379408, version 2

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Rachid Guerraoui, Kévin Huguenin, Anne-Marie Kermarrec, Maxime Maxime Monod, Swagatika Prusty. LiFTinG: Lightweight Freerider-Tracking Protocol in Gossip. [Research Report] RR-6913, INRIA. 2010, pp.21. 〈inria-00379408v2〉

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