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A vulnerability discovery model describes the variation in the vulnerability discovery rate during the lifetime of a software system and can be used to assess risk and to evaluate possible mitigation approaches. A few vulnerability discovery models have recently been proposed. The AML Logistic model has been found to provide the best fit in several cases. Weibull distribution, which can model an asymmetric...
Prediction of vulnerability discovery rates can be used to assess security risks and to determine the resources needed to develop patches quickly to handle vulnerabilities discovered. An examination of the vulnerability data suggests a seasonal behavior that has not been modeled by the recently proposed vulnerability discovery models. This seasonality has not been identified or examined so far. This...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.