摘要
提出一种基于Boosting算法的入侵检测方法。先用神经网络初步确定一个入侵检测函数,在此基础上,利用Boosting方法构造一个基于神经网络的入侵检测函数序列,然后以一定的方式将它们组合成一个加强的总检测函数,据此进行入侵检测。实验结果显示,这种方法明显提高了检测性能。
This paper presents a new algorithm based on Boosting for intrusion detection. Firstly, it builds a function for intrusion detection using neural network, then uses boosting algorithm and builds a serials of function based on the neural network. At last, a final function based on boosted combination of those functions is found, which is applied in intrusion detection. Experimen tresults show good detective performance of the algorithm.
出处
《计算机工程》
CAS
CSCD
北大核心
2004年第11期98-100,共3页
Computer Engineering
基金
国家自然科学基金资助项目(79816101)
