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How to Defend against Pollution Attacks in P2P Networks

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Type: Working Paper
Author: Chang, Eric
Date: 2018
Agency: Yale University
Series: Working Paper
URI: http://hdl.handle.net/10535/10407
Sector: Information & Knowledge
Region:
Subject(s): models
Abstract: "Pollution attacks in P2P networks become important and no existing work well solved this challenge. This paper presents an investigation that compares various models on defending against content pollution. We categorize the various schemes into some groups and discuss the application-level model performance of each group. At end of the report, we present some future aspects on defending against content pollution; moreover, some important and useful evaluation results are in the report."

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