【摘要】 当前的网络入侵检测技术存在误报率、漏报率高,资源负载重,自适应性、智能化程度低,可扩展性差等问题,针对这些问题,本文提出了一种基于免疫原理的网络入侵检测模型,具有检测率高、资源负载轻、高自适应、高智能化、可扩展、可调节、高鲁棒性等优点,通过仿真实验验证了该模型中所采用算法和机制的有效性。更多还原

【Abstract】 Some problems such as high false positive rate and false negative rate,heavyweight,low adaptability and automatism and poor scalability,exists in current network-based intrusion detection technologies. To solve them,this paper presents an immo-inspired network-based intrusion detection model which is with high detection rate,lightweight,adaptive,self-learning,scalable,adjustable,robust. Algorithms and mechanisms used in the model are justified as effective by experimental results.更多还原