盛云雷, 李永忠, 荆春伟. 高速网络入侵防御系统中免疫算法的改进[J]. 微电子学与计算机, 2011, 28(5): 109-112,117.
引用本文: 盛云雷, 李永忠, 荆春伟. 高速网络入侵防御系统中免疫算法的改进[J]. 微电子学与计算机, 2011, 28(5): 109-112,117.
SHENG Yun-lei, LI Yong-zhong, JING Chun-wei. Improve of Immune Algorithm in the Intrusion Prevension System of High-Speed Network[J]. Microelectronics & Computer, 2011, 28(5): 109-112,117.
Citation: SHENG Yun-lei, LI Yong-zhong, JING Chun-wei. Improve of Immune Algorithm in the Intrusion Prevension System of High-Speed Network[J]. Microelectronics & Computer, 2011, 28(5): 109-112,117.

高速网络入侵防御系统中免疫算法的改进

Improve of Immune Algorithm in the Intrusion Prevension System of High-Speed Network

  • 摘要: 将人工免疫原理与高速网络分流技术结合, 提出了一种基于免疫原理的高速网络入侵防御算法.在对阴性选择算法改进基础上引入疫苗算子和选择算子, 降低了系统二次免疫应答时间, 增强了系统抗体库自我学习能力, 进而改善了系统的实时性和高效性.在分析了高速网络分流技术和改进阴性选择算法的基础上, 建立了基于免疫原理的高速网络入侵防御系统.仿真结果证明了该算法的有效性.

     

    Abstract: A new method is proposed against the limited capacity in making real-time intrusion prevention efficiently for high-speed network, that is the intrusion prevension algorithm based on immune principle, combining of the artificial immune principle and data-distribution technology.In the research on negative selection algorithm, the vaccine operator and positive selection operator are introduced to the algorithm.Owing to the new algorithm, self-learning ability of antibody bank gets enhanced and the time needed for secondary response is reduced, so that the efficiency of system gets greatly improved.After the analysis of data-distribution technology and negative selection algorithm, the intrusion prevension system based on immune principle is established.Simulation results show the effectiveness of the algorithm.

     

/

返回文章
返回