基于树突状细胞算法的入侵检测系统研究

对树突状细胞算法在入侵检测系统中的应用进行研究.对树突状细胞算法中抗体集合的确定和阈值设置进行动态化改进,以建立动态树突状细胞算法.同时,采用UCI数据集进行对比实验.将动态树突状细胞算法与传统树突状细胞算法的检测结果进行比较,结果表明,动态树突状细胞算法提高了处理数据的有效性、鲁棒性和自适应性.

Intrusion Detection System Based on Dendritic Cells Algorithm

The dynamic dendritic cells algorithm in the intrusion detection system was introduced.The algorithm possesses the capability of dynamic determination of antibodies set and can improve the threshold setting.The comparative experiment on detection results between traditional dendritic cell detection algorithm and dynamic dendritic cell algorithm based on UCI datasets illustrates that the dynamic dendritic cell algorithm effectively improves the accuracy of the data processing and increases the robustness and self adaptability.