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首先介绍了加权支持向量机算法的基本原理,进而将加权支持向量机用于入侵检测中,通过实验验证入侵检测在小样本的条件下仍然具有较好的推广能力,克服了常规SVM算法不能灵活处理样本的缺陷。实验结果表明,将加权支持向量机用于网络入侵检测中是可行的、高效的。
Firstly, the basic principle of weighted support vector machine (SVM) algorithm is introduced, and then the weighted support vector machine is used in intrusion detection. It is verified through experiment that intrusion detection still has better popularization ability under the condition of small sample, overcomes the conventional SVM algorithm can not be flexible Defects handling samples. Experimental results show that it is feasible and efficient to use weighted support vector machines in network intrusion detection.