Many things have been written and told about cyber security and its importance around the world during these recent years. To establish Secure Cyber Space an effective communication network is needed. The cognitive networks are effective networks for communication. These networks are also changeable. This network is constructed of network terminals, and wired and wireless connections among them. This network is capable of being aware of the network’s intrinsic and external situation. CN has feature to operate standalone, frame decisions and set itself according to the mentioned goal. A key ability is learning which means that the network can use last made decisions during a CN process. The research focuses on architectural security aspects of network. The main objective of the research is to see how the features of CN could be used for building and framing a cyber security model. The cyber security detailed makeup describes all the security functionalities and controls that are required when implementing the high-secure network. Cognitive tone will create more knowledge on networks. Increasing cyber security threat seeks that security requirements are already taken care of the beginning of framing the network process. Hence, it is obvious and compulsory to build a proposed model that could be used at an initial point when latest networks are thought about and brought into implementation.