摘要
大多数网络入侵检测专家系统采用单一的推理机制.而基于规则推理和基于事例推理这两种推理机制各有优缺点,采用单一推理机制会降低入侵检测的准确性.文中提出了基于规则和事例的入侵检测混合推理机制.在此基础上,设计了一个基于Agent的网络入侵检测专家系统(AIDES).实验结果表明,文中设计的AIDES是有效的.
Most intrusion detection expert system of network adopted single reasoning mechanism.However,rule-based reasoning or case-based reasoning had advantages and disadvantages.The adoption of single reasoning mechanism would lead to inaccurate intrusion detection.The paper proposed mixed reasoning mechanism based on rule-based reasoning and case-based reasoning.On the base of this,the paper designed an intrusion detection expert system of network based on agent,namely AIDES.The experiments indicate that AIDES is effective.
出处
《微电子学与计算机》
CSCD
北大核心
2011年第9期93-95,99,共4页
Microelectronics & Computer
基金
重庆市科技攻关项目(2009AC2068)
