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Maximum Throughput of Clandestine Relay

机译:秘密中继的最大吞吐量

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摘要

The maximum throughput of relaying information flows while concealing their presence is studied. The concealment is achieved by embedding transmissions of information flows into truly independent transmission schedules that resemble the normal transmission behaviors without any flow. Such embedding may reduce the throughput for delay-sensitive flows, and the paper provides a quantitative characterization of the level of reduction. Under a strict or average delay constraint, the maximum normalized throughput is measured by the efficiency of the optimal relay algorithms that embed the most flow into given transmission schedules. Exact analytical solutions and closed-form approximations are derived for renewal schedules, verified by simulations on both synthetic traffic and traces. The results reveal general relationships between the clandestine throughput and system parameters including delay constraints, traffic load, and traffic distributions. In particular, the throughput is found to be negatively related to the burstiness of the cover traffic. Moreover, simulations show that the throughputs of renewal traffic with certain power-law interarrival distributions can closely approximate those of actual traces.
机译:研究了隐藏信息流时中继信息流的最大吞吐量。隐藏是通过将信息流的传输嵌入真正独立的传输计划中来实现的,该计划类似于正常的传输行为,没有任何流量。这种嵌入可能会降低对延迟敏感的流的吞吐量,并且本文提供了降低级别的定量表征。在严格或平均延迟约束下,最大归一化吞吐量是通过将最大流量嵌入给定传输计划中的最佳中继算法的效率来衡量的。得出了更新时间表的精确分析解决方案和闭式近似值,并通过模拟综合流量和航迹进行了验证。结果揭示了秘密吞吐量与系统参数之间的一般关系,包括延迟约束,流量负载和流量分布。特别地,发现吞吐量与覆盖业务量的突发性负相关。而且,仿真表明,具有某些幂律到达间隔分布的更新流量的吞吐量可以非常接近实际跟踪的吞吐量。

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