【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.更多还原

【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.更多还原