[1] BASS T. Intrusion detection systems and multisensor data fusion [J]. Communications of the ACM, 2000,43(4): 99-105. [2] JAKOBSON G. Mission cyber security situation assessment using impact dependency graphs [C]//Proceedings of the 2011 14th International Conference on Information Fusion. Piscataway: IEEE, 2011:1-8. [3] ZHAO J, ZHOU Y, SHUO L. A situation awareness model of system survivability based on variable fuzzy set [J]. Telkomnika: Indonesian Journal of Electrical Engineering, 2012, 10(8): 2239-2246. [4] WANG J, ZHANG F,FU C, et al. Study on index system in network situation awareness [J]. Journal of Computer Applications, 2007, 27(8): 1907-1909. (王娟,张凤荔,傅翀,等.网络态势感知中的指标体系研究[J].计算机应用,2007,27(8):1907-1909.) [5] XI R, YUN X, ZHANG Y, et al. An improved quantitative evaluation method for network security [J]. Chinese Journal of Computers, 2015, 38(4): 749-758. (席荣荣,云晓春,张永铮,等.一种改进的网络安全态势量化评估方法[J].计算机学报,2015,38(4):749-758.) [6] LI F, ZHENG B, ZHU J, et al. A method of network security situation prediction based on AC-RBF neural network [J].Journal of Chongqing University of Posts and Telecommunications: Natural Science Edition, 2014, 26(5):576-581. (李方伟,郑波,朱江,等.一种基于AC-RBF神经网络的网络安全态势预测方法[J].重庆邮电大学学报:自然科学版,2014,26(5):576-581.) [7] XIE L,WANG Y. New method of network security situation awareness [J]. Journal of Beijing University of Posts and Telecommunications, 2014,37(5):31-35. (谢丽霞,王亚超.网络安全态势感知新方法[J].北京邮电大学学报,2014,37(5):31-35.) [8] LYU H, PENG W,WANG R, et al. A real-time network threat recognition and assessment method base on association analysis of time and space [J]. Journal of Computer Research and Development, 2014, 51(5): 1039-1049. (吕慧颖,彭武,王瑞梅,等.基于时空关联分析的网络实时威胁识别与评估[J].计算机研究与发展,2014,51(5):1039-1049.) [9] TANG C, TANG S, QIANG B. Assessment and validation of network security situation based on DS and knowledge fusion [J]. Computer Science,2014,41(4):107-110. (唐成华,汤申生,强保华.DS融合知识的网络安全态势评估及验证[J].计算机科学,2014,41(4):107-110.) [10] XIE L, WANG Y, YU J. Network security situation awareness based on neural network [J]. Journal of Tsinghua University: Science and Technology, 2013,53(12):1750-1760. (谢丽霞,王亚超,于巾博.基于神经网络的网络安全态势感知[J].清华大学学报:自然科学版,2013,53(12):1750-1760.) [11] YAO P. Integration algorithm research based on Naive Bayes [D]. Guangzhou: South China University of Technology, 2013: 13. (姚沛津.基于朴素贝叶斯的集成算法研究[D].广州:华南理工大学,2013:13.) |