An Effective Index Poisoning Algorithm for Controlling Peer-to-Peer Network Applications
An Effective Index Poisoning Algorithm for Controlling Peer-to-Peer Network Applications
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发表时间：
2011-02
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通讯作者：
Putra Pratama;Nakao Akihiro
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作者：
Putra Pratama;Nakao Akihiro
版权侵权是P2P网络通信中的一个重要问题。索引和内容中毒已经被提出来控制版权内容的交换。然而，不幸的是，这样的控制方法在控制业务量方面是昂贵的，因为它们将控制方法应用于所有对等体并且它们生成很多控制业务。通常，直接将索引中毒应用于对等体可以间接地使相邻对等体中毒，因此，可以减少针对相同中毒效果的对等体的数量。在本文中，我们提出了一种方法，以改善索引中毒的范围限制中毒，使即使当我们应用中毒的一小部分同行，我们仍然可以达到同样的效果，我们应用中毒的所有同行的流量控制。更详细地说，以Winny为例的结构化P2P网络，我们提出，实现和评估的算法来确定有影响力的节点的索引中毒的基础上推断的网络结构。我们成功地减少中毒目标的27%，并实现了相同的效果，传统的方法中毒96%的整个网络。
Copyright infringement is considered a significant issue in P2P network communications. Index and content poisoning have been proposed to control the exchange of copyrighted content. Unfortunately, however, such control methods are costly in terms of the amount of control traffic since they apply the control method to all the peers and they generate much control traffic. In general, directly applying index poisoning to a peer may indirectly poison the neighboring peers, thus, it is possible to reduce the number of peers to target for the same effect of poisoning. In this paper, we propose a method to improve index poisoning by limiting the scope of poisoning so that even when we apply poisoning to a small number of peers, we could still achieve the same effect of traffic control as we applied poisoning to all peers. In more detail, taking Winny as an example of structured P2P network, we propose, implement and evaluate an algorithm to determine the influential peers for index poisoning based on the inferred network structure. We successfully reduce the poisoning target to 27% of the total peers and achieve the same effectiveness as the conventional method poisoning 96% of the entire network.