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• W98336772 abstract "This paper addresses the problem of detecting freeriders in eer-to-peer epidemic content dissemination applications, such as gossip-based and mesh-based systems. We present LiFT, a Lightweight Freerider-Tracking Protocol, relying on accountability: each peer logs a digest of its past interactions with other peers and tracks abnormal behaviors by cross-checking its history log with other peers. LiFT is the rst protocol that detects freeriders in a randomized push-based application without using cryptography. Such applications are challenging because incentives a la Tit-for-Tat are not applicable and the random selection of communication partners prevents the use of any deterministic verication of the logs. We present a theoretical analysis of LiFT, backed up by extensive simulations. Additionally, we report on our experiments on the illustrative example of a gossip-based content dissemination protocol. In this setting, we show that after 50 gossip periods, LiFT detects freeriders (that freeride the protocol by 10%) over 99% of the time and that only 0.1% of the honest nodes are wrongfully accused." @default.
• W98336772 created "2016-06-24" @default.
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• W98336772 date "2008-01-01" @default.
• W98336772 modified "2023-09-27" @default.
• W98336772 title "LiFT: Lightweight Freerider-Tracking Protocol" @default.
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