Wireless network intrusion detection model and safety enhancement framework for campus network

Wireless network intrusion detection model and safety enhancement framework for campus network is designed in this manuscript. The security design of the campus network should meet the characteristics of the high performance, high reliability, and high security. At first, the initial antibody gene library is extracted and constructed by analyzing known network intrusion behaviors, and then a set of genes from the antibody gene library is randomly selected to simulate the traditional gene expression process for recombination. By binary encoding each attribute feature forms a random binary string as the detection element. In the negative selection process, the intrusion detection system randomly selects the continuous bit matching rule or the Hamming matching rule to generate the various novel models. These new models are simulated to verify the performance.