吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (2): 556-567.doi: 10.13229/j.cnki.jdxbgxb201602034

• Orginal Article • Previous Articles     Next Articles

Hierarchical situation evaluation model for network information content security incidents

GE Lin, JI Xin-Sheng, JIANG Tao   

  1. National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, China
  • Received:2014-02-27 Online:2016-02-20 Published:2016-02-20

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Abstract: To solve the problem of situation evaluation for network information content security incidents, a hierarchical situation evaluation model parameter calculation method are proposed, through the analysis on the multi-dimension characteristics of network information content security incidents. The model uses hierarchical structure and calculates the situation assessment values of incident level, area level and system level respectively. Among these levels, the incident level is based on the behavioral characteristics and content characteristics of the incident characteristics; the area level is according to the relationship characteristics and location characteristics, and system level integrates the involved area levels. The method to calculate the parameters is defined. Simulation results show that the model and method is feasible and reliable. It can reflect the impaction of incidents effectively and grasp the change rules of the incidents in situation evaluation of information content security incidents.

Key words: information processing technology, information content security incidents, situation evaluation, hierarchical

CLC Number: 

  • TP393
[1] GB/Z 20986-2007.信息安全事件分类分级指南[S].
[2] 中国互联网络信息中心. 2013年中国网民信息安全状况研究报告[R]. 中国互联网络信息中心, 中国, 2013.
[3] 陈训逊, 方滨兴, 胡铭曾, 等. 一个网络信息内容安全的新领域-网络信息渗透检测技术[J]. 通信学报, 2004, 25(7): 185-191.
Chen Xun-xun, Fang Bin-xing, Hu Ming-zeng, et al. A new field in security of internet information and content-network information penetration detection technology[J]. Journal of China Institute of Communications, 2004, 25(7): 185-191.
[4] Fang Bin-xing, Guo Yun-chuan, Zhou Yuan. Information content security on the Internet: the control model and its evaluation[J]. Science China, 2010, 53(1): 30-49.
[5] 万源. 基于语义统计分析的网络舆情挖掘技术研究[D]. 武汉:武汉理工大学计算机学院, 2012.
Wan Yuan. Research on mining of internet public opinion based on semantic and statistic analysis[D]. Wuhan :School of Computer Science and Technology,Wuhan University of Technology, 2012.
[6] Barroso N, Lopez de Ipina K L, Ezeiza A, et al. An ontology-driven semantic speech recognition system for security tasks[C]//Proceeding of IEEE International Carnahan Conference on Security Technology, Barcelona,2011:1-6.
[7] Roesch M. Snort-lightweight intrusion detection for networks[C]//Proceedings of the 13th System Administration Conference, Seattle,1999: 229-238.
[8] Porras P A, Fong M W, Valdes A. A mission-impact-based approach to INFOSEC alarm correlation[C]//Proceedings of the 5th International Symposium on Recent Advances in Intrusion Detection, Zurich,2002:95-114.
[9] Hariri S, Qu G Z, Dharmagadda T, et al. Impact analysis of faults and attacks in large-scale networks[J]. IEEE Security and Privacy, 2003, 1(5): 49-54.
[10] 陈秀真, 郑庆华, 管晓宏, 等. 层次化网络安全威胁态势量化评估方法[J]. 软件学报, 2006, 17( 4) : 885-897.
Chen Xiu-zhen, Zheng Qing-hua, Guan Xiao-hong, et al. Quantitative hierarchical threat evaluation model for network security[J]. Journal of Software, 2006, 17(4): 885- 897.
[11] Arnes A, Valeur F, Vigna G, et al. Using hidden markov models to evaluate the risk of intrusions[C]//Proceedings of the International Symposium on the Recent Advances in Intrusion Detection, Hamburg,2006:145-164.
[12] 韦勇, 连一峰, 冯登国. 基于信息融合的网络安全态势评估模型[J]. 计算机研究与发展,2009, 46(3): 353-362.
Wei Yong, Lian Yi-feng, Feng Deng-guo. A network security situational awareness model based on information fusion[J]. Journal of Computer Research and Development, 2009, 46(3): 353-362.
[13] Ahmed M S, Al-Shaer E, Taibah M, et al. Objective risk evaluation for automated security management[J]. Journal of Network and Systems Management, 2011, 19(3): 343-366.
[14] IEEE VAST 2008 Challenge[EB/OL] .[2008-03-15] https://www.cs.umd.edu/hcil/VASTcha-llenge08.
[15] Enron Email Dataset[EB/OL] .[2011-04-02] https://www.cs.cmu.edu/~enron/.
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