Research of Information Security Risk Management Based on Statistical Learning Theory
Traditional methods used in the information security risk management are mostly based on the statistics, their validity of application are limited to large sample situations, while the statistical learning theory is introduced to the innovation of information security management, its structural risk minimization principle and from which the support vector machine developed offer new theory basis for predicting the security risk and achieve the minimal risk. This paper not only detailedly discusses the structural risk minimization principle and from which the support vector machine developed offer new theory basis for predicting the security risk and achieve the minimal risk, but also puts forwards the idea of using structural risk minimization principle and the support vector machine in information security risk management, which provides the brand-new mentality to the information security risk management.
statistical teaming theory structural risk minimization support vector machine information security risk management
Zhao Li Wu Yongchun Wu Xuexia
School of Business, Shandong Jianzhu University, Jinan 250101, China
国际会议
重庆
英文
1399-1401
2009-12-25（万方平台首次上网日期，不代表论文的发表时间）