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Fighting pollution attacks in P2P streaming

机译:对抗P2P流媒体中的污染攻击

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In recent years, the demand for multimedia streaming over the Internet is soaring. Due to the lack of a centralized point of administration, Peer-to-Peer (P2P) streaming systems are vulnerable to pollution attacks, in which video segments might be altered by any peer before being shared. Among existing proposals, reputation-based defense mechanisms are the most effective and practical solutions. We performed a measurement study on the effectiveness of this class of solutions. We implemented a framework that allows us to simulate different variations of the reputation rating systems, from the centralized global approaches to the decentralized local approaches, under different parameter settings and pollution models. One key finding is that a centralized reputation system is only effective in static network and in defending against light pollution attacks. In general, a fully distributed reputation system is more suitable for the "real-time" P2P streaming system, since it is better in handling network dynamics and fast in detecting the polluters. Based on this key finding, we propose DRank, a fully distributed rank-based reputation system. Experimental results show that this technique is more flexible and robust in fighting pollution attacks. (C) 2015 Elsevier B.V. All rights reserved.
机译:近年来,对通过Internet进行多媒体流传输的需求猛增。由于缺乏集中的管理点,对等(P2P)流系统容易受到污染攻击,其中视频段可能在共享之前被任何对等方更改。在现有建议中,基于声誉的防御机制是最有效和实用的解决方案。我们对此类解决方案的有效性进行了评估研究。我们实施了一个框架,该框架可让我们在不同的参数设置和污染模型下,模拟信誉评估系统的不同变化,从集中的全局方法到分散的局部方法。一个关键发现是集中式信誉系统仅在静态网络和防御光污染攻击中有效。通常,完全分布式信誉系统更适合“实时” P2P流式传输系统,因为它在处理网络动态方面更好,并且在检测污染者方面更快。基于这一关键发现,我们提出了DRank,这是一个完全分布式的基于等级的信誉系统。实验结果表明,该技术在抵御污染攻击方面更具灵活性和鲁棒性。 (C)2015 Elsevier B.V.保留所有权利。

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