Proceedings ArticleDOI
Network security risk assessment based on support vector machine
Jun Chen,Xionggang Tu +1 more
- pp 184-187
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TLDR
The content and the evaluation indicators of network security risk assessment and the classification of the support vector machine are described and the method is proposed, which is feasible and effective.Abstract:
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.read more
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References
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Journal ArticleDOI
Comparing support vector machines with Gaussian kernels to radial basis function classifiers
Bernhard Schölkopf,Kah-Kay Sung,C.J.C. Burges,Federico Girosi,Partha Niyogi,Tomaso Poggio,Vladimir Vapnik +6 more
TL;DR: The results show that on the United States postal service database of handwritten digits, the SV machine achieves the highest recognition accuracy, followed by the hybrid system, and the SV approach is thus not only theoretically well-founded but also superior in a practical application.
Book ChapterDOI
Chapter 2 – nonnegative matrices
TL;DR: In this paper, the two basic approaches to the study of nonnegative matrices are geometrical and combinatorial, using the elementwise structure in which the zero-nonzero pattern plays an important role.
Journal ArticleDOI
Improving the modified Gauss-Seidel method for Z-matrices
TL;DR: This paper uses the preconditioning matrix I + S(α) to show that if a coefficient matrix A is an irreducibly diagonally dominant Z-matrix, then [I + S (α)]A is also a strictly diagonal dominant Z -matrix and is shown that the proposed method is also superior to other iterative methods.
Journal ArticleDOI
Modified Gauss–Seidel type methods and Jacobi type methods for Z-matrices
Wen Li,Weiwei Sun +1 more
TL;DR: In this article, the convergence analysis for modified Gauss-Seidel and Jacobi type iterative methods is presented and a comparison of spectral radius among the Gauss -Seidel iterative method and these modified methods is provided.
Proceedings ArticleDOI
Survey of Information Security Risk Assessment
Zhi-Min Gao,Sheng-Yuan Wang +1 more
TL;DR: A survey is proposed in which the common risk assessment methods are divided into four types: vulnerability identification and risk assessment, risk factors simulation and risk estimation, security situation assessment, and the risk calculation based on business process analysis.
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