A new method called RS-MSVM （Rough Set and Multi-class Support Vector Machine） is proposed for network intrusion detection. This method is based on rough set followed by MSVM for attribute reduction and classificati...A new method called RS-MSVM （Rough Set and Multi-class Support Vector Machine） is proposed for network intrusion detection. This method is based on rough set followed by MSVM for attribute reduction and classification respectively, The number of attributes of the network data used in this paper is reduced from 41 to 30 using rough set theory. The kernel function of HVDM-RBF （Heterogeneous Value Difference Metric Radial Basis Function）, based on the heterogeneous value difference metric of heterogeneous datasets, is constructed for the heterogeneous network data. HVDM-RBF and one-against-one method are applied to build MSVM. DARPA （Defense Advanced Research Projects Agency） intrusion detection evaluating data were used in the experiment. The testing results show that our method outperforms other methods mentioned in this paper on six aspects： detection accuracy, number of support vectors, false positive rate, falsc negative rate, training time and testing time.展开更多
Based on heterogeneity in firm's sales destinations and trade patterns, this paper estimates China's ratio of value-added exports(RVAE) using value-added trade accounting, and discusses the evolution of China&...Based on heterogeneity in firm's sales destinations and trade patterns, this paper estimates China's ratio of value-added exports(RVAE) using value-added trade accounting, and discusses the evolution of China's comparative advantages from the perspective of value-added trade. Our research findings suggest that without taking into account heterogeneity in firm's sales destinations and trade patterns,China's RVAE will be overestimated. Conventional gross trade accounting underestimates the export competitiveness of China's labor-intensive and capital intensive sectors, but overestimates the export competitiveness of China's technology-intensive sectors,which leads to a significant reversal of comparative advantages. Conventional gross trade accounting method overestimates the trade surplus of China's manufacturing and technology-intensive sectors with the US by about 60% and 85% respectively.展开更多
基金Supported by the 863 High Tech. Project (2001AA140213) and the State Key Basic Research Pro-ject (2001CB309403).
文摘A new method called RS-MSVM （Rough Set and Multi-class Support Vector Machine） is proposed for network intrusion detection. This method is based on rough set followed by MSVM for attribute reduction and classification respectively, The number of attributes of the network data used in this paper is reduced from 41 to 30 using rough set theory. The kernel function of HVDM-RBF （Heterogeneous Value Difference Metric Radial Basis Function）, based on the heterogeneous value difference metric of heterogeneous datasets, is constructed for the heterogeneous network data. HVDM-RBF and one-against-one method are applied to build MSVM. DARPA （Defense Advanced Research Projects Agency） intrusion detection evaluating data were used in the experiment. The testing results show that our method outperforms other methods mentioned in this paper on six aspects： detection accuracy, number of support vectors, false positive rate, falsc negative rate, training time and testing time.
基金supported by the Youth Program of the National Social Sciences Fund of China(NSSFC)"Study on the Real Interest Distribution Pattern of China's Trade Surplus under the New System of International Division of Labor"(Grant No.12CJY083)Basic Scientific Research Funding and Backbone Talent Support Program for Key Disciplines of Central Universities(Nankai University)"Study on Industrial Agglomeration,Financing Constraint and the Export Behaviors of Chinese Enterprises"(Grant No.NKZXA1405)the Collaborative Innovation Center for the Socialist Economy with Chinese Characteristics of Nankai University and the Center for Asian Studies,Nankai University(Grant No.AS1607)
文摘Based on heterogeneity in firm's sales destinations and trade patterns, this paper estimates China's ratio of value-added exports(RVAE) using value-added trade accounting, and discusses the evolution of China's comparative advantages from the perspective of value-added trade. Our research findings suggest that without taking into account heterogeneity in firm's sales destinations and trade patterns,China's RVAE will be overestimated. Conventional gross trade accounting underestimates the export competitiveness of China's labor-intensive and capital intensive sectors, but overestimates the export competitiveness of China's technology-intensive sectors,which leads to a significant reversal of comparative advantages. Conventional gross trade accounting method overestimates the trade surplus of China's manufacturing and technology-intensive sectors with the US by about 60% and 85% respectively.
