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.

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

Security patterns , Text classification , SVM learning technique