Artificial intelligence application for improving cyber-security acquirement

The main focus of this paper is the improvement of machine learning where a number of different types of computer processes can be mapped in multitasking environment. A software mapping and modelling paradigm named SHOWAN is developed to learn and characterize the cyber awareness behaviour of a computer process against multiple concurrent threads. The examined process start to outperform, and tended to manage numerous tasks poorly, but it gradually learned to acquire and control tasks, in the context of anomaly detection. Finally, SHOWAN plots the abnormal activities of manually projected task and compare with loading trends of other tasks within the group.