节点文献
基于危险理论的层次化网络入侵免疫
Intrusion Detection Artificial Immune System Based On Danger Theory
【摘要】 人们根据生物免疫的原理,建立人工免疫系统来保护计算机不受网络攻击。但是,以往的人工免疫系统只是模仿生物的免疫机制,而很少考虑计算机网络结构的特点,使得检测的漏报率高,误报率也高。利用危险理论的基本原理,提出层次化的网络免疫系统,使得免疫反应更有针对性,从而更好地保护计算机不受网络的攻击。
【Abstract】 People build artificial immune system to protect computer from attacking based on the principle of immunity. But they don’t take into consideration of the structure of Computer network, as a result the rate of fail alarm and false alarm is very high. In this paper, we give a Hierarchical network immune system which based on the danger theory. This immune system makes the response more targeted and can give better protect of the computer and the network.
【关键词】 生物免疫;
人工免疫;
计算安全;
危险理论;
危险信号;
入侵检测;
【Key words】 artificial immune system; Computer security; danger theory; dangerous signal; intrusion detection;
【Key words】 artificial immune system; Computer security; danger theory; dangerous signal; intrusion detection;
【基金】 国家“211工程”建设项目(181070H901);江苏省自然科学基金项目(2003101SBRB231)
- 【文献出处】 计算机安全 ,Computer Security , 编辑部邮箱 ,2009年01期
- 【分类号】TP393.08
- 【被引频次】2
- 【下载频次】116