论文标题
在存在瞬态对抗攻击的情况下，最快的变化检测
Quickest Change Detection in the Presence of Transient Adversarial Attacks
论文作者
论文摘要
我们研究了一个监测系统，其中传感器观测值的分布从标称分布变为异常分布，以响应对手的存在。该系统使用最快的更改检测过程，即Shewhart规则，用于检测使用其资源来影响异常分布的对手，以隐藏其存在。感兴趣的度量是更改点后预定义的时间单数中遗漏检测的概率。假设对手的资源限制是检测器已知的，我们发现所需的传感器的数量使最坏的案例概率丢失的检测概率小于可接受的水平。假定观测值的分布是高斯，对手的存在会影响其平均值。我们还提供模拟结果以支持我们的分析。
We study a monitoring system in which the distributions of sensors' observations change from a nominal distribution to an abnormal distribution in response to an adversary's presence. The system uses the quickest change detection procedure, the Shewhart rule, to detect the adversary that uses its resources to affect the abnormal distribution, so as to hide its presence. The metric of interest is the probability of missed detection within a predefined number of time-slots after the changepoint. Assuming that the adversary's resource constraints are known to the detector, we find the number of required sensors to make the worst-case probability of missed detection less than an acceptable level. The distributions of observations are assumed to be Gaussian, and the presence of the adversary affects their mean. We also provide simulation results to support our analysis.
