Neural Network-based Multi-Sensor Fusion for Security Management

With the development of attacking technologies, the representations of security events become more and more complex, and the system security situation can´t be detected or judged by some single security. In this paper, we put the theory and practical of neural network-based multi-sensor information fusion technology into security management for further study and put emphasis up on network security events fusion to optimize and improve the source events management and policy coordination in security management. We present a security management framework using neural network-based information fusion technology, and give an experimental environment to prove that the framework can provide believable security events and the output estimation for security management platform; it can serve as a reference for the response of network security events, so as to improve the response speed effectively