A Multi-Dimensional Classification for Users of Security Patterns

This paper presents a classification for security patterns that addresses the needs of users. The approach uses a matrix defined by dividing the problem space along multiple dimensions, and allows patterns to occupy regions, defined by multiple cells in the matrix. It supports filtering for narrow or wide pattern selection, allows navigation along related axes of concern, and identifies gaps in the problem space that lack pattern coverage. Results are preliminary but highlight differences with existing classifications.