计算机应用研究2012，Vol.29Issue(2)：667-671,5.DOI:10.3969/j.issn.1001-3695.2012.02.071
基于蜜罐的入侵检测系统的设计与实现
Design and implementation of intrusion detection system based on honeypot
摘要
Abstract
The traditional IDS (intrusion detection system) can not identify the unknown attacks. Therefore, this paper introduced honeypot technique into the IDS. It desigaed a intrusion detection system based on ANN (artificial neural network) . It constructed the system contained FDM detection model and SDM detection model by using perceptron learning method. FDM was used to distinguish the attack class from the normal class, while the other focused on detecting some main types of attacks. At last, an experiment was to test detection ability of HoneypotlDS. The results of the experiment show that HoneypotlDS has a better detection rate and a lower false positive rate for the intrusion activities in the monitored network.关键词
入侵检测/蜜罐/感知器Key words
intrusion detection/ honeypot/ perception分类
信息技术与安全科学引用本文复制引用
汪洁,杨柳..基于蜜罐的入侵检测系统的设计与实现[J].计算机应用研究,2012,29(2):667-671,5.基金项目
中南大学自由探索计划资助项目(2011QNZT035) （2011QNZT035）
