特征提取技术中噪声过滤算法研究

Research on noise filtering algorithm in feature extraction technology

网络攻击特征提取技术层出不穷,是当前网络信息安全问题研究的热点。分析了当前各种网络攻击特征提取技术,重点阐述了特征提取技术的理想步骤、当前发展状态以及存在的问题;在总结相关算法的基础上,提出了一种噪声过滤算法以优化特征的提取;通过深入分析和综合验证,证明此算法有一定的可行性及应用价值。

The network attack feature extraction techniques are various and develop quickly, It becomes a hot research topic. The current variety of feature extraction techniques is analyzed. The ideal step of feature extraction technology, the current development status and the exiting problems are mainly discussed. Based on having summarized relative algorithms, a new noise filtering algorithm to optimize feature extraction is introduced. The analysis result after comprehensive validation shows that the algorithm has certain feasibility and application value.