一种基于量子免疫原理的网络入侵检测器生成算法

Network Intrusion Detector Generation Algorithm Based on Principles of Quantum Immune

本文提出了一种基于量子免疫原理的检测器生成算法。算法的通过学习自体模式,训练出具有多样性高的抗体,然后用于真实数据的入侵检测。采用kddcup99数据进行了对比实验,实验结果表明基于本文算法的检测准确率高,同时收敛稳定性明显提高,收敛速度更快,比其他方法更加有效。

This paper presents a theory based on quantum immune detector generation algorithm.The algorithm was by learning from the body model, to train with a high diversity of antibodies, and then for the real data of the intrusion detection.Kddcup99 data were compared with experimental results show that the algorithm based on the detection with high accuracy, while markedly improved the stability of convergence, convergence faster and more effective than other methods.