Analysis about Performance of Multiclass SVM Applying in IDS

摘要：

　　This paper presents a novel network intrusion detection approach with the Support Vector Machine embedded in and Kfold cross-validation method compounded for optimizing the attributes and SVM model.Compared with some representative machine learning method,online data experimental results show that this method can be used to reduce the rate of False- Negatives in the intrusion detection system.

关键词： IDS SVM machine learning rate of False-Negatives

作者: Gang Zhao Jianhao Song Junyi Song

作者单位: School of Information Management, Beijing Information Science & Technology University, Beijing, China

会议类型: 国际会议

会议名称: 2013 International Conference on Information, Business and Education Technology (2013信息、商业与教育技术国际会议(ICIBET 2013))

会议地点: 北京

会议语种:英文

页码: 101-106

在线出版日期: 2013-03-14（万方平台首次上网日期，不代表论文的发表时间）