Genetic-based adaptive intrusion detection system

被引：0

作者：

Li Yun-xia ^{[1
]}

Zheng Hong ^{[1
]}

Li Ping ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 610054, Peoples R China

来源：

Proceedings of 2005 Chinese Control and Decision Conference, Vols 1 and 2 | 2005年

关键词：

genetic algorithm; intrusion detection; intelligent agent;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

a genetic-based adaptive intrusion detection system is presented based on adaptive model generation and agent techniques in this, paper. Compared. with traditional centralized intrusion detection system, the new system distributes tasks. and data. to every nodes in the networks and uses a set of various cooperating agents to perform intrusion detection. Therefore it can make full use of the resources of hosts and networks. Further more, the intrusion detection, system that. integrates agents and adaptive model generation can configure parameters and renew intrusion detection models on. the fly. Through self-learning and self-improvement, the detection ability and the adaptability of the system will, be improved continually.

引用

页码：1233 / 1236

页数：4