遗传算法在蜜网中的应用研究

分析了网络攻击和入侵行为日趋复杂的现状,传统的网络被动防御技术已经无法有效地保护网络安全。研究了蜜网技术和遗传算法,根据遗传算法在动态环境中的鲁棒性、自适应性的特点,提出了将遗传算法应用到蜜网系统中,并设计了遗传算法在蜜网中的数据分析流程,该算法弥补了传统的统计检测方法的缺陷。仿真实验证明,该系统能有效地捕捉恶意行为,防御多种新型攻击,该算法具有一定的优越性。

The research of honeynet based on genetic algorithm

As the attack and intrusion on network have become more and more complex,the traditional defense technique has been unable to protect the network effectively. It studies the genetic algorithms and honeynet technology,presents the application of genetic algorithm to the honeynet system,This algorithm is based on the robustness and adaptability of the genetic algorithms,and the design of the genetic algotithm in honeynet data analysis process,so it makes up the traditional statistic detection＇s defect.Simulation proves the system can capture hostility behavior,and defense some new attacks. it has the advantages to certain extent.