Bionic evolution based intrusion detection system

Bionic evolution mimicks the unique properties of biological evolution and proves to be an effective way to solve optimizing problem. As comparison and connection with natural evolution and biological inheritance, we analyzed the principles of bionic evolution and its superiorities for application in IDS (intrusion detection system). To solve the security problems and system flaws in intrusion detection system, we put forward an optimizing algorithm based on bionic evolution algorithm for parameter selection in IDS. With the bionic evolution based parameter optimizing algorithm, we put forward an intrusion analyzing scheme for IDS; the scheme is composed of anomaly-based detection and misuse-based detection. By applying bionic evolution algorithm, the scheme improves the accuracy and efficiency in selecting detection parameters and reinforces the adaptability, stability and robustness in intrusion analyzing and reacting. Therefore the scheme achieves considerable improvement on system security and efficiency regarding software and hardware environment.