Logistic-based Analysis for P2P Resources Population
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Graphical Abstract
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Abstract
To solve censor cost problems brought by targets increasing, an logistic-based approach which was taken to analyze population of P2P resources was proposed. Nodes scale would be controlled by excluding targets with low population estimation. For a number of resources in Kad, the statistics of downloading nodes were made, the parameters were estimated and the logistic model was fitted with the collected dataset. By decision tree modeling, conclusion shows that population and file size are key factors to logistic-based analysis.
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