Assessment of Information System Assurance Capability Based on SVM

Abstract:

Aiming at the shortcoming of commonly used assessment methods, this paper introduces SVM to information system security assurance capability assessment, builds a corresponding assess model. The simulation result shows that the method can get high assessment accuracy, and can solve the problem of subjective bias brought by experts and the problems of easily trapped into minimum point and over-fitting of neural network, the method is suitable for information system security assurance capability assessment.

• Periodical: Applied Mechanics and Materials (Volumes 241-244)
• Pages: 275-279
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.241-244.275
• Online since: December 2012
• Authors: Deng Hui Wu, Yu Fu, Jia Sheng Wang
• Keywords: Information System, Security Assurance Capability Assessment, Support Vector Machine (SVM)

References

[1] Nikzad Manteghi, Mohmmad Jafar Haddadpoor Jahromi. Propose a model to choose best project by AHP in distributed generation[C]. //Proceedings of World Congress on Innovation and Computer Sciences, 2012(1):481-484.

DOI: 10.1016/j.protcy.2012.02.105

[2] Fu Yu, Wu Xiaoping, Ye Qing, et al. An approach for information systems security risk assessment on fuzzy set and entropy-weight[J]. Acta electronica sinica, 2010, 38(7):1489-1494. (In Chinese).

[3] Shao Fei, Jiang Kebin, Liu Xiaobin, et al. Fuzzy evaluation on support ability of special refitting for ocean trawler based on grey relational analysis[J]. Journal of PLA University of Science and Technology(Natural Science Edition),2011,12(3):284-288.(In Chinese).

[4] Yu Suli, Qi Xiaohong.The project evaluation of Private Equity on the basis of BP neural network[J]. J Tsinghua Univ(Sci&Tech),2011,51(12):1917-1920. (In Chinese).

[5] Vapnik V. Statistical learning theory [M]. New York: Springer Verlag, 1998.

[6] National Information Center. Information security evaluation index system [R].2005:1-20. (In Chinese).

[7] Du Yong, Du Jun, Chen Jianying. System of measuring and appraising the quality of practitioners of information security in e-commerce[J]. Systems Engineering-Theory & Practice, 2010, 30(10):1870-1876. (In Chinese).

[8] Ghoggali, N. A multiobjective genetic SVM approach for classification problems with limited training samples[J]. Geoscience and Remote Sensing, 2009, 47(6):1707-1718.

DOI: 10.1109/tgrs.2008.2007128

[9] Xing Tao, Liao Ran. Multi-category support vector machine algorithm for quality analysis of student enrollment of universities[J]. Journal of Harbin Institute of Technology, 2010, 42(11):1828-1832. (In Chinese).