Network Security Risk Assessment Based On Support Vector Machine

摘要：

With the development and application of network technology, the issues of network security has become prominent increasingly. Network security risk assessment has become the key process in solve network security. Support Vector Machine(SVM)is one of novel learning machine methods, its advantages are simple structure, strong compatibility, global optimization, least raining time and better generalization. So it has superiority to apply it into network security risk assessment. This paper describes the content and the evaluation indicators of network security risk assessment and the classification of the support vector machine in detail. And then an assessment method of network security risk based on support vector machine is proposed in this paper. Experiment results show that the method Is feasible and effective.

关键词： Risk Assessment Support Vector Machine(SVM) Network Security

作者: Jim Chen Xionggang Tu

作者单位: School of Computer Science Zhejiang Industry Polytechnic College Shaoxing, China

会议类型: 国际会议

会议名称: 2011 IEEE 3rd International Conference on Communication Software and Networks(2011第三届通信软件与网络国际会议 ICCSN2011)

会议地点: 西安

会议语种:英文

页码: 709-712

在线出版日期: 2011-05-27（万方平台首次上网日期，不代表论文的发表时间）