1.桂林电子科技大学 广西可信软件重点实验室 桂林 541004 2.桂林电子科技大学 广西信息科学实验中心 桂林 541004 3.Department of Engineering Technology, Missouri Western State University, St. Joseph, MO 64057, USA 4.中山大学 信息科学与技术学院 广州 510275
Situation Index Extraction Algorithm Based on Improved Discernibility Matrix and Expert Knowledge
TANG Cheng-Hua1,2, TANG Shen-Sheng3, XIE Yi4
1.Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin 541004 2.Guangxi Experiment Center of Information Science, Guilin University of Electronic Technology, Guilin 541004 3.Department of Engineering Technology, Missouri Western State University, St. Joseph, MO 64057, USA 4.School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510275
Abstract:Aiming at the problems of difficult and inefficient sample index extraction in the general reduction algorithm, rough set theory is introduced to extract situation index. The decision table information is reduced based on the discernibility matrix compression and classified selection, and the index selection is adjusted by combining the importance measure of the export knowledge. Meanwhile, a situation index extraction algorithm based on improved discernibility matrix and expert knowledge is proposed .It is analyzed and verified in the example of situation index system. Experimental results show that the proposed algorithm has good effect on the situation index reduction, and the extracted indexes are rational in the network security assessment. It provides a feasible solution for extracting the situation index.
[1] Li X Y, Wang Q X, Yang L. Multi-objective Network Security Me- trics Indicator System. Journal of Information Engineering University, 2012, 13(2): 235-240 (in Chinese) (黎筱彦,王清贤,杨 林.一种多目标的网络安全性度量指标体系.信息工程大学学报, 2012, 13(2): 235-240) [2] Tang C H, Wang X, Zhang R X, et al. Research on Index System of Assessment for Network Security Based on Situation Entropy. Journal of Guilin University of Electronic Technology, 2011, 31(4): 270-274 (in Chinese) (唐成华,王 鑫,张瑞霞,等.基于态势熵的网络安全态势评估指标体系研究.桂林电子科技大学学报, 2011, 31(4): 270-274) [3] Loh P K K, Subramanian D. Fuzzy Classification Metrics for Scanner Assessment and Vulnerability Reporting. IEEE Trans on Information Forensics and Security, 2010, 5(4): 613-624 [4] Zhao H B, Jiang F, Zeng H F. New Attribute Reduction Algorithm Based on Reconstructed Consistent Decision Table. Computer Science, 2012, 39(5): 168-171 (in Chinese) (赵洪波,江 峰,曾惠芬.一种基于重构相容决策表的属性约简算法.计算机科学, 2012, 39(5): 168-171) [5] Yin L Z, Yang C H, Wang X L, et al. Reduction Algorithm Based on Attribute Correlation. Pattern Recognition and Artificial Intelligence, 2012, 25(5): 762-767 (in Chinese) (尹林子,阳春华,王晓丽,等.基于属性关联的约简算法.模式识别与人工智能, 2012, 25(5): 762-767) [6] Skowron A, Rauszer C. The Discernibility Matrices and Functions in Information System // Slowinski R, ed. Intelligent Decision Su- pport. Dordrecht, the Netherlands: Springer, 1992: 331-362 [7] Ye D Y, Chen Z J. A New Discernibility Matrix and the Computation of a Core. Acta Electronica Sinica, 2002, 30(7): 1086-1088 (in Chinese) (叶东毅,陈昭炯.一个新的差别矩阵及其求核方法.电子学报, 2002, 30(7): 1086-1088) [8] Yang M. An Incremental Updating Algorithm for Attribute Reduction Based on Improved Discernibility Matrix. Chinese Journal of Computers, 2007, 30(5): 815-822 (in Chinese) (杨 明.一种基于改进差别矩阵的属性约简增量式更新算法.计算机学报, 2007, 30(5): 815-822) [9] Xu Z Y, Liu Z P, Yang B R, et al. A Quick Attribute Reduction Algorithm with Complexity of max(O(CU), O(C2U/C)). Chinese Journal of Computers, 2006, 29(3): 391-399 (in Chinese) (徐章艳,刘作鹏,杨炳儒,等.一个复杂度为max(O(CU), O(C2U/C))的快速属性约简算法.计算机学报, 2006, 29(3): 391-399) [10] Wang X Z, Wang T T, Zhai J H. An Attribute Reduction Algorithm Based on Instance Selection. Journal of Computer Research and Development, 2012, 49(11): 2305-2310 (in Chinese) (王熙照,王婷婷,翟俊海.基于样例选取的属性约简算法.计算机研究与发展, 2012, 49(11): 2305-2310) [11] Wang B, Chen S B. A Complete Algorithm for Attribute Reduction // Tarn T J, Zhou C, Chen S, eds. Robotic Welding, Intelligence and Automation. Berlin, Germany: Springer, 2004: 345-352 [12] Zhang J, Dong A, Niu Y, et al. An Efficient Algorithm for Attri- bute Reduction Based on Discernibility Matrix // Proc of the International Conference on Intelligent Computation and Bio-medical Instrumentation. Wuhan, China, 2011: 175-178