Novel Method to Select Security Patterns Using SVM (Support Vector Machines)

Over the last few years a large number of security patterns have been published. However, this large number of patterns has created a problem in selecting patterns that are appropriate for different security requirements. In this paper, we used text processing approach in conjunction with a learning technique to select appropriate security patterns for a given security problem. In the proposed method, for each security pattern class, one classifier is learned, then suitable security patterns are recommended for a given security requirement. We used SVM learning technique for creating classifiers. We also evaluated our proposed method by several security patterns mentioned in Schumacher's book.

Keywords:

Security patterns , Text classification , SVM learning technique