粒子群算法和时间序列分析在入侵检测系统中的应用

入侵检测系统是一种被动的安全防御方法。它是通过分析各种收集到的数据来发现可能的入侵行为。常用的入侵检测分类方法不仅算法复杂而且效率还偏低。本文提出一种基于粒子群算法和时间序列相结合的半监督入侵检测方法来提高入侵检测的分类效率。实验结果表明,该方法用于入侵检测系统具有较高的检测率。

Application of PSO and Time-Based Sequence Analysis in Intrusion Detection

The Intrusion detection system（IDS） is one kind of defense system for network,It is passive.Intrusion detection system can discover potential intrusion behavior by collecting and analyzing various network data.Many IDS Classified algorithm is not only high complex,but also low efficiency.In this paper,an algorithm of intrusion detection was explored based on PSO analysis and time-based sequence analysis.The experimental results show that the algorithm is feasible and effective.It has higher detection rate and a lower false positive rate.