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Simple Countermeasures to Mitigate the Effect of Pollution Attack in Network Coding Based Peer-to-Peer Live Streaming

机译:缓解污染事故影响的简易对策   基于网络编码的点对点直播流

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摘要

Network coding based peer-to-peer streaming represents an effective solutionto aggregate user capacities and to increase system throughput in livemultimedia streaming. Nonetheless, such systems are vulnerable to pollutionattacks where a handful of malicious peers can disrupt the communication bytransmitting just a few bogus packets which are then recombined and relayed byunaware honest nodes, further spreading the pollution over the network. Whereasprevious research focused on malicious nodes identification schemes andpollution-resilient coding, in this paper we show pollution countermeasureswhich make a standard network coding scheme resilient to pollution attacks.Thanks to a simple yet effective analytical model of a reference nodecollecting packets by malicious and honest neighbors, we demonstrate that i)packets received earlier are less likely to be polluted and ii) shortgenerations increase the likelihood to recover a clean generation. Therefore,we propose a recombination scheme where nodes draw packets to be recombinedaccording to their age in the input queue, paired with a decoding scheme ableto detect the reception of polluted packets early in the decoding process andshort generations. The effectiveness of our approach is experimentallyevaluated in a real system we developed and deployed on hundreds to thousandspeers. Experimental evidence shows that, thanks to our simple countermeasures,the effect of a pollution attack is almost canceled and the video qualityexperienced by the peers is comparable to pre-attack levels.
机译:基于网络编码的点对点流表示一种有效的解决方案,可以聚集用户容量并提高实时多媒体流中的系统吞吐量。但是,这样的系统容易受到污染攻击,在这种攻击中,少数恶意对等体可以通过仅传输几个伪造的数据包而破坏通信,然后由不知情的诚实节点重新组合和中继这些数据包,从而进一步在网络上传播污染。以往的研究主要集中在恶意节点识别方案和防污编码方面,在本文中,我们展示了一种污染对策,可以使标准网络编码方案具有抵御污染攻击的能力。我们证明,i)较早收到的包装盒被污染的可能性较小,并且ii)短代包装增加了恢复清洁世代的可能性。因此,我们提出了一种重组方案,在该方案中,节点根据输入队列中的年龄来抽取要重组的数据包,并与能够在解码过程的早期和较短的生成时间内检测到受污染的数据包的解码方案配对。在我们开发并部署到数百至数千人的真实系统中,通过实验评估了我们方法的有效性。实验证据表明,由于我们采取了简单的对策,几乎消除了污染攻击的影响,同行们体验到的视频质量与攻击前的水平相当。

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