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Rate-Distortion-Authentication optimized streaming with Generalized Butterfly Graph authentication

机译:速率 - 失真 - 验证优化流具有普遍性的蝴蝶图认证

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This paper shows how Rate-Distortion-Authentication (R-D-A) optimized streaming may be performed with the Generalized Butterfly Graph (GBG) stream authentication method. R-D-A streaming is designed to compute an optimized transmission policy by accounting for both coding and authentication dependencies, and GBG is designed to protect the authenticity of a media stream. The GBG graph is better suited for streaming than the original Butterfly graph since it is highly flexible and can support an arbitrary number of packets and arbitrary overhead. However, the dependency chains within the GBG graph are much longer and are tangled with each other — making it very difficult to quantify the dependencies necessary to perform R-D-A streaming. We propose a method to estimate the authentication dependencies, which is then used by the R-D-A technique to compute the optimized transmission policy.
机译:本文示出了如何利用广义蝶形图(GBG)流认证方法执行速率失真认证(R-D-A)优化流。 R-D-A流旨在通过考虑编码和认证依赖性来计算优化的传输策略,并且GBG旨在保护媒体流的真实性。 GBG图更适合流媒体,而不是原始蝴蝶图,因为它具有高度灵活性,并且可以支持任意数量的分组和任意开销。然而,GBG图中的依赖链将彼此缠绕得更长,并且彼此纠结 - 使得非常困难地量化执行R-D-A流的所需的依赖关系。我们提出了一种估计认证依赖性的方法,然后由R-D-A技术使用来计算优化的传输策略。

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