IV. FUTURE WORKS
In this paper, when the traditional security systems are virtualized in cloud platform, we designed the SIEM architecture for cloud-based security service that can help to recognize cyber threats using collected data and to provide correlation-based cyber threat analytics. Furthermore, by the reason that the correlation analytics is the most important one of the various analytics method, we will apply the Neural Network in order to detect the threat based on learning the security data model. In detail, by the neural network model which outputs the threat categories or normality by learning collected long-term data, the proposed SIEM can improve the ability to determine the threats that whether the status of the current collected data is threat or not. And such method significantly will enhance to improve intelligent cyber threat analysis in the SIEM.
