反恶意软件测试的重大改进

R. Ford, M. Carvalho
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引用次数: 2

摘要

尽管反恶意软件测试的质量在不断提高,但处理测试结果的方式往往显示出较低的复杂程度。在本文中,我们将置信区间和统计显著性的简单概念引入到这些测试中,并表明许多在其他领域常见的“最佳实践”方法在安全软件测试行业中是缺乏的。此外,我们认为这些技术的缺乏损害了整个行业,并为更广泛地采用众所周知的统计技术来估计测量的置信区间提供了路线图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A significant improvement for anti-malware tests
Despite ongoing improvements in the quality of antimalware tests, the way in which test results are handled often shows a low level of sophistication. In this paper, we introduce the simple concept of confidence intervals and statistical significance to these tests, and show that many of the “best practice” approaches common in other fields are lacking in the security-software testing industry. Further, we argue that the lack of these techniques harms the industry as a whole, and provide a road map for broader adoption of well-known statistical techniques for estimating the confidence interval on measurements.
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