An immune based model for dynamic intrusion detection

作者：Liu Xiaojie^*

来源：Przeglad Elektrotechniczny, 2012, 88(3B): 100-104.

• Artifical immune system
• Network Intrusion detection
• Dynamic evolution model

A new immune based model called AIBM for dynamic intrusion detection is proposed. AIBM uses a very small dynamic self set during the self tolerance for immature detectors, resulting in a higher efficiency in generating new mature detectors than traditional computer immune systems (CIS). Meanwhile, the self set can synchronize their variations with the real-network environment as time goes on, resulting in the dynamic evolution of self set, mature and memory detectors, offering more self-adaptation, and having a lower error rate than traditional CIS models.

• 出版日期2012
• 单位四川大学