检测系统测试

G. Leach
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引用次数: 5

摘要

在外部电子边界入侵检测系统(PIDS)中,“检测概率”(P/sub / d/)一词经常被误用。例如,一个系统在测试三次后正确检测,其检测率为100%,但可能没有100%的“检测概率”。“P/sub / d/”经常被误用来描述这个实验结果为100%的检测概率。可以估计P/sub / d的“置信限”,然后可以要求测试的最小范围。这些置信限有时使用正态分布或卡方统计分布来计算。使用这些分布进行pid测试是有问题的,因为它们经常在其有效区域之外使用。有一些基本的制约因素阻碍了发现P/sub / d/的常规统计置信限。讨论了P/sub / d统计量,并描述了用二项分布表示检测不确定度的精确方法。讨论了减少测试,同时保持信心的方法。专家们担心,广泛但不具代表性的测试会给人一种毫无根据的可靠性印象。本文强调代表性测试和结果清晰呈现的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Testing of detection systems
The phrase "probability of detection" (P/sub d/) is often misused in the context of exterior electronic perimeter intrusion detection systems (PIDS). For example, a system which correctly detects when tested three times has detected at a rate of 100%, but might not have a "probability of detection" of 100%. "P/sub d/" is often misused to describe this experimental result as a 100% probability of detection. "Confidence limits" for P/sub d/ can be estimated and minimum extents for testing can then be demanded. These confidence limits are sometimes calculated using the normal, or the chi-squared, statistical distributions. Using these distributions for PIDS testing is questionable because they are often used outside their region of validity. There are fundamental constraints which obstruct conventional statistical confidence limits for P/sub d/ from being found. P/sub d/ statistics are discussed and an exact way to express detection uncertainty using the binomial distribution is described. Ways to reduce testing, yet maintain confidence, are discussed. Experts are concerned that extensive, but unrepresentative, testing gives an unwarranted impression of reliability. This paper emphasises the importance of representative testing and the clear presentation of results.
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