Avoiding Whitewashing in Unstructured Peer-to-Peer Resource Sharing Network
Ruchir Gupta, Yatindra Nath Singh

TL;DR
This paper proposes a novel algorithm to prevent whitewashing in peer-to-peer networks that use temporary identities, by adjusting initial reputation based on detected whitewashing levels, balancing security and user anonymity.
Contribution
It introduces a new algorithm that dynamically adjusts initial reputation to mitigate whitewashing without compromising user anonymity in unstructured P2P networks.
Findings
Effective reduction of whitewashing incidents
Maintains user anonymity with temporary identities
Improves trustworthiness of peer-to-peer sharing
Abstract
In peer-to-peer file sharing network, it is hard to distinguish between a legitimate newcomer and a whitewasher. This makes whitewashing a big problem in peer-to-peer networks. Although the problem of whitewashing can be solved using permanent identities, it may take away the right of anonymity for users. In this paper, we a have proposed a novel algorithm to avoid this problem when network uses free temporary identities. In this algorithm, the initial reputation is adjusted according to the level of whitewashing in the network.
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Taxonomy
TopicsPeer-to-Peer Network Technologies · Caching and Content Delivery · Internet Traffic Analysis and Secure E-voting
