Improved Intrusion Detection Algorithm Based on DCA

doi:10.3969/j.cnki.jdxb.2015.06.007

Abstract

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.

Key words: migration threshold, dendritic cell algorithm, particle swarm optimization, intrusion detection

LEI Shi-Hua, DING Lei, LI Jian-Feng, ZENG Shui-Ling. Improved Intrusion Detection Algorithm Based on DCA[J]. journal6, 2015, 36(6): 27-29.

References

[1] XIE Linquan,YU Fei,XU Chen.Distributed Firewall with Intrusion Detection System[J].Journal of Computers，2012，7(12)：3 110-3 115.

[2] FORREST S，PERELSON A S，ALLEN L，et al.Self-Nonself Discrimination in a Computer[C].Proceedings of the 1994 IEEE Symposium on Research in Security and Privacy.Los Alamos，CA：IEEE Computer Society，1994：202-209.

[3] CASTRO L N D，VON ZUBEN F J.The Clonal Selection Algorithm with Engineering Applications[C].Proceedings of the Genetic and Evolutionary Computation Conference.Las Vegas，USA：ACM，2000：36-37.

[4] CASTRO L N D，VON ZUBEN F J.An Evolutionary Immune Network for Data Clustering[C].Proceedings of the IEEE Brazilian Symposium on Artificial Neural Networks.Rio de Janeiro，Brazil：IEEE Computer Society，2000：84-89.

[5] MATZINGER P.Tolerance，Danger and the Extended Family[J].Annual Review of Immunology，1994,12(1)：991-1 045.

[6] AICKELIN U，BENTLEY P，CAYZER S，et al.Danger Theory：The Link Between AIS and IDS[C].Proceedings of the Second International Conference on Artificial Immune Systems.Edinburgh：[s.n.]，2003:147-155.

[7] GREENSMITH J，AICKELIN U，CAYZER S.Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection[C].Proceedings of the 4th International Conference on Artificial Immune Systems.Alberta:[s.n.]，2005:153-167.

[8] GREENSMITH J，AICKELIN U，TWYCORSS J.Articulation and Clarification of the Dendritic Cell Algorithm[C].Proceeding of International Conference on Artificial Immune System.Oeiras，Portugal：Springer Verlag，2006：404-417.

[9] OATES R，KENDALL G，GARIBALDI J M.Frequency Analysis for Dendritic Cell Population Tuning[J].Evolutionary Intelligence，2008,1(2)：145-157.

[10] 方贤进，王丽，康佳，等.树突细胞算法及其理论研究[J].计算机科学，2015，42(2)：131-133；156.

[11] EBERHART R，KENNEDY J.A New Optimizer Using Particle Swarm Theory[C].Proceeding of the 6th International Symposium on Micro Machine and Human Science.Piscataway，NJ：IEEE Service Center，1995：39-43.

[12] 徐善健.一种基于网络资源的数据挖掘方法[J].湖南城市学院学报：自然科学版，2015，24（2）：76-78.

[13] 陈岳兵.面向入侵检测的人工免疫系统研究[D].长沙：国防科技大学，2011.