计算机工程与应用 ›› 2017, Vol. 53 ›› Issue (1): 118-123.DOI: 10.3778/j.issn.1002-8331.1503-0133

• 网络、通信与安全 • 上一篇    下一篇

基于疫苗算子和柯西变异的克隆选择算法改进

张凤斌,王  超,杨  泽   

  1. 哈尔滨理工大学 计算机科学与技术学院,哈尔滨 150080
  • 出版日期:2017-01-01 发布日期:2017-01-10

Clonal selection algorithm based on vaccination and Cauchy mutation

ZHANG Fengbin, WANG Chao, YANG Ze   

  1. School of Computer Science and Technology, Harbin University of  Science Technology, Harbin 150080, China
  • Online:2017-01-01 Published:2017-01-10

摘要: 在网络入侵检测系统中,克隆选择算法已经取得了长足的发展,但是它仍然存在的很多缺点,例如算法收敛过慢,且在变异过程中有退化现象。结合生物系统中疫苗接种技术和柯西变异能产生较大随机数范围的特点,可以分别改进克隆选择算法的这两个缺点。实验结果显示,改进后的算法明显加快了收敛速度,并且提高了检测率。

关键词: 网络入侵检测, 克隆选择算法, 疫苗接种, 柯西变异, 疫苗库

Abstract: In the network intrusion detection system, clonal selection algorithm converges too slowly, and there is degradation in the process of mutation. Combining vaccination technology in biological systems and Cauchy mutation can generate greater range of random numbers, improve these two shortcomings about clonal selection algorithm respectively. Experiments show that the improved algorithm significantly accelerates the convergence rate and improve the detection rate.

Key words: network intrusion detection, clonal selection algorithm, vaccination;Cauchy mutation;vaccine library