Control charting methods for autocorrelated cyber vulnerability data
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Taylor and Francis
Abstract
Control charting cyber vulnerabilities is challenging because the same vulnerabilities can remain from
period to period. Also, hosts (personal computers, servers, printers, etc.) are often scanned infrequently and can be unavailable during scanning. To address these challenges, control charting of
the period-to-period demerits per host using a hybrid moving centerline residual-based and adjusted
demerit (MCRAD) chart is proposed. The intent is to direct limited administrator resources to unusual
cases when automatic patching is insufficient. The proposed chart is shown to offer superior average
run length performance compared with three alternative methods from the literature. The methods
are illustrated using three datasets.
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Citation
Anthony Afful-Dadzie & Theodore T. Allen (2016) Control charting methods for autocorrelated cyber vulnerability data, Quality Engineering, 28:3, 313-328, DOI: 10.1080/08982112.2015.1125926