Security Pattern Detection Using Ordered Matrix Matching

Abstract

Security patterns implement security features in a software system. The missing or incomplete application of security patterns may produce vulnerabilities and invite attackers. Therefore, the detection of security patterns is the key to assuring security to software systems before release. In this paper, we propose a security pattern detection framework (SPDF) based on ordered matrix matching (OMM) technique. The framework provides a platform for data extraction, matching, and dictionary data checking. The experimental results show appropriate detection accuracy, reasonable time consumption, and zero false positives.