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一种改进的入侵检测DCA算法
引用本文:雷石花,丁雷,李建锋,曾水玲.一种改进的入侵检测DCA算法[J].吉首大学学报(自然科学版),2015,36(6):27-29.
作者姓名:雷石花  丁雷  李建锋  曾水玲
作者单位:(吉首大学信息科学与工程学院,湖南 吉首 416000)
基金项目:国家自然科学基金资助项目(61363073,61363033,61262032);湖南省教育厅科学研究项目(13A075)
摘    要:考虑到迁移阈值的设置直接影响DCA算法在网络入侵检测中的性能,提出一种改进的迁移阈值选择方法,来提高DCA算法的性能.根据现实网络行为的连续性,利用粒子群算法获得最优迁移阈值,并将其作为网络数据分析的迁移阈值.仿真结果表明,改进的DCA算法能够在一定程度上提高入侵检测的精度.

关 键 词:迁移阈值  DCA  粒子群算法  入侵检测

Improved Intrusion Detection Algorithm Based on DCA
LEI Shi-Hua,DING Lei,LI Jian-Feng,ZENG Shui-Ling.Improved Intrusion Detection Algorithm Based on DCA[J].Journal of Jishou University(Natural Science Edition),2015,36(6):27-29.
Authors:LEI Shi-Hua  DING Lei  LI Jian-Feng  ZENG Shui-Ling
Institution:(School of Information Science and Engineering,Jishou University,Jishou 416000,Hunan China)
Abstract:With the influence of the migration threshold value on the performance of dendritic cell algorithm(DCA) being considered during the network intrusion detection,the way to determine the migration threshold is presented to improve the performance of DCA.According to the real network behavior with the characteristics of continuity,the particle swarm optimization (PSO) is employed to determine the migration threshold which will be the used to analyze the network data.The simulation results show that the improved way can increase the accuracy of intrusion detection of DCA.
Keywords:migration threshold                                                                                                                        dendritic cell algorithm                                                                                                                        particle swarm optimization                                                                                                                        intrusion detection
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