Using Median as a Threshold in Determining Anomaly in Back-End Authentication

Jaehoon Kim
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引用次数: 2

Abstract

In anomaly detection, as threshold, we typically use the 1.5 times or more of the interquartile range (IQR) in the parametric statistical method or 3σ in normal distribution. However, this criterion is not suitable for our application domain. Because the threshold value is so high that the IQR or 3σ is not secure. Therefore, we consider using median value as a threshold. Using the median value is more secure than using the IQR or 3σ as the number is smaller. In this paper, we first introduce our application domain and then verify that using the median value is more suitable in our application domain. In addition, we conclude that, depending on the situation, other measurements such as σ, 2σ, mean, and mode can be suitable criteria.
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中值作为阈值在后端认证异常判断中的应用
在异常检测中,我们通常使用参数统计方法中四分位间距(IQR)的1.5倍或以上作为阈值,或者使用正态分布中的3σ作为阈值。然而,这个标准并不适合我们的应用领域。由于阈值过高,使得IQR或3σ不安全。因此,我们考虑使用中位数作为阈值。使用中位数比使用IQR或3σ更安全,因为数字更小。在本文中,我们首先介绍了我们的应用领域,然后验证了在我们的应用领域中使用中值是更合适的。此外,我们还得出结论,根据具体情况,σ、2σ、均值和众数等其他测量值也可以作为合适的标准。
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