论文标题
在数据伪造攻击下，有效的基于有序传输的分布式检测
Efficient Ordered-Transmission Based Distributed Detection under Data Falsification Attacks
论文作者
论文摘要
在分布式检测系统中，节能有序传输（EEOT）方案能够减少做出最终决定所需的传输数量。在这项工作中，我们研究了数据伪造攻击对基于EEOT的系统性能的影响。我们得出了在攻击下基于EEOT的系统的错误概率，并在做出最终决定所需的预期传输数量上找到了上限（UB）。此外，我们通过通过整数编程（IP）解决优化问题来收紧UB。我们还获得了FC的最佳阈值，以确保基于EEOT的系统的最佳检测性能。数值和仿真结果表明，可以通过适当设计的阈值确保决策的质量减少传输。
In distributed detection systems, energy-efficient ordered transmission (EEOT) schemes are able to reduce the number of transmissions required to make a final decision. In this work, we investigate the effect of data falsification attacks on the performance of EEOT-based systems. We derive the probability of error for an EEOT-based system under attack and find an upper bound (UB) on the expected number of transmissions required to make the final decision. Moreover, we tighten this UB by solving an optimization problem via integer programming (IP). We also obtain the FC's optimal threshold which guarantees the optimal detection performance of the EEOT-based system. Numerical and simulation results indicate that it is possible to reduce transmissions while still ensuring the quality of the decision with an appropriately designed threshold.
