RESEARCH ON INTRUSION DETECTION SYSTEMS BASED ON LEVENBERG-MARQUARDT ALGORITHM

摘要：

Intrusion detection system is a hot spot in the researching domain of information security. The paper puts forward an intrusion detection model called LMBP. Firstly the paper does a research on different optimal algorithms of BP (Back Propagation) networks and then combines improved BP algorithm with Levenberg-Marquardt algorithm to device LMBP. Based on this model the LM-HIDS intrusion detection system is established. The result of the experiment shows that it is an efficient way to detect host intrusion by applying Levenbcrg-Marquardt algorithm to optimize BP network.

关键词： Information security Intrusion detection Neural Network LM algorithm

作者: MING-QING LING WEI-WEI LIU

作者单位: School of Computer and Information Technology, Beijing Jiaotong University,Bcijing 100044, China Air School of Computer and Information Technology, Beijing Jiaotong University,Bcijing 100044, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 3684-3688

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）