Machine learning (ML)-based network intrusion detection systems (NIDSs) depend entirely on the performance of machine models. Therefore, many studies have been conducted to improve ML Nevertheless, relatively few focused feature set, which significantly affects In addition, features are generated by analyzing data collected after session ends, requires a significant amount memory and long proce...

Software design patterns are standard solutions to common problems in software and architecture. Knowing that a particular module implements pattern is shortcut comprehension. Manually detecting time consuming challenging task, therefore, researchers have proposed automatic detection techniques. However, these techniques show low performance for certain patterns. In this work, we introduce appr...