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Loss-tolerant real-time content integrity validation for P2P video streaming

机译:P2P视频流的损失实时内容完整性验证

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The use of peer-to-peer (P2P) mechanisms for content delivery is attractive to content and service providers alike. P2P data transfers offload the demand on servers and reduce the bandwidth requirements, with corresponding benefits of improved scalability and performance. This, however, poses interesting challenges in ensuring content integrity. Peers may be malicious and attempt to send corrupt and/or inappropriate content to disrupt the service. Consequently, service providers must provide clients with the capability to validate the integrity of content delivered from peers. This goal is particularly challenging in the context of streaming video because the content needs to be validated in real time. A practical solution must provide high integrity assurance while incurring low communication and computation overhead. In this paper, we present a packet-based validation approach for ensuring the integrity of data obtained from peers. Our proposed scheme randomly selects packets and validates their correctness. Through detailed experiments, we show that this mechanism is not only lightweight but is also able to detect content corruption with very high probability, thus protecting the viewing experience and the provider's content delivery service.
机译:使用点对点(P2P)的内容交付机制对内容和服务提供商具有吸引力。 P2P数据传输卸载对服务器的需求并降低带宽要求,具有改进的可扩展性和性能的相应益处。然而,这在确保内容完整性时构成了有趣的挑战。对等体可能是恶意的,并尝试发送损坏和/或不适当的内容以扰乱服务。因此,服务提供商必须为客户提供能力来验证从对等体传递的内容的完整性。这种目标在流式视频的背景下尤其具有挑战性,因为内容需要实时验证。实际解决方案必须提供高完整性保证,同时产生低通信和计算开销。在本文中,我们提出了一种基于分组的验证方法,用于确保从对等体获得的数据的完整性。我们所提出的方案随机选择数据包并验证其正确性。通过详细的实验,我们表明这种机制不仅重量轻,而且还能够以非常高的概率检测内容损坏,从而保护观看体验和提供商的内容递送服务。

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