Security Evaluation Techniques and Network Performance Simulation Based on Queue Model

doi:10.16182/j.issn1004731x.joss.201801024

Abstract

Abstract: With the booming development of Internet technology, network security threats force every country to pay more and more attention to network security. By analyzing and summarizing the principles of network security threats, three kinds of proactive security threats are proposed in this paper, including saturation security threats, deleting security threats, and tampering security threats. OPNET is employed as the simulation tool to establish multi-service communications network model, in which the node are based on the queuing theory model. In addition, different traffic intensity parameters are designed to simulate the network performance under various running situations. Fuzzy comprehensive evaluation method is used to assess the effect of network security threats.

Key words: network security threats, OPNET simulation technology, effect evaluation, queue theory

CLC Number:

TP393

Liu Lifang, Zhao Lisha, Qi Xiaogang, Xiong Wei. Security Evaluation Techniques and Network Performance Simulation Based on Queue Model[J]. Journal of System Simulation, 2018, 30(1): 191-196.

References

[1] 郝选文. 空间信息网抗毁路由及网络防安全威胁技术研究[D]. 西安: 西安电子科技大学, 2013.Hao Xuanwen. Research on Survivalbility Routing and Anti-Attack Technology in Space Information Networks[D]. Xi’an: Xidian University, 2013.
[2] 陈娟, 马涛. 无线网络攻击分类技术研究[J]. 电子科技, 2011, 24(3): 118-121. Chen Juan, Ma Tao. The Study of the Wireless Network Attack Classification Technology[J]. Electronic Science and Technology, 2011, 24(3): 118-121.
[3] 瞿鑫. 关于IP网络性能指标及其测试方法分析[J]. 中国新通信, 2014, 16(23): 113. Qu Xin. IP network performance index and analysis on test method [J]. China New Telecommunications, 2014, 16(23): 113.
[4] 郑雄, 王懿, 张顺颐. IP网络性能指标及其测试方法的研究[J]. 中国数据通信, 2004, 5(11): 21-25. Zheng Xiong, Wang Yi, Zhang Shunyi. IP network performance and study on test methods [J]. China Data Communications Net, 2004, 5(11): 21-25.
[5] 李雄伟. 基于性能分析的网络安全威胁效果评估方法研究[J]. 电子对抗技术, 2005, 20(3): 39-42. Li Xiongwei. Study on the Evaluation Methods of the Attack Effect of Network Based on Performance Analysi[J].Electronic Warfare Technology, 2005, 20(3): 39-42
[6] 朱辰, 董银虎. 基于OPNET的网络仿真技术研究及其应用[J]. 无线电工程, 2013, 43(3): 12-15. Zhu Chen, Dong Yinhu. Network Simulation Technology and Its Application Based on OPNET[J]. Radio Engineering, 2013, 43(3): 12-15.
[7] Sethi A S, Hnatyshin V Y.The Practical OPNET User Guide for Computer Network Simulation[M]. CRC Press, 2012.
[8] 高志华, 孙媛, 李季颖, 等. 基于排队论的网络化要地防空作战效能研究[J]. 计算机与数字工程, 2012, 40(8): 51-54. Gao Zhihua, Sun Yuan, Li Jiying, et al. Study of Operational Effectiveness for Networking Essential Air Defense Based on Queuing Theory[J]. Computer & Digital Engineering, 2012, 40(8): 51-54.
[9] 赵华琼, 唐学文. 基于模糊层次分析法的网络业务性能评估模型[J]. 计算机应用, 2013, 33(11): 3035-3038. Zhao Huaqiong, Tang Xuewen. Evaluation model of network service performance based on fuzzy analytic hierarchy process[J]. Journal of Computer Applications, 2013, 33(11): 3035-3038.
[10] Lambert-Torres G, De Almeida Costa C I, Neto M C B, et al. Decision-making using a Paraconsistent analytic hierarchy process[C]//2008 5th International Conference on the European Electricity Market, 2008.
[11] 李雄伟, 于明, 杨义先, 等. Fuzzy-AHP法在网络攻击效果评估中的应用[J]. 北京邮电大学学报, 2006, 29(1): 124-127. Li Xiongwei, Yu Ming, Yang Yixian, et al. Application of Fuzzy-AHP Method in the Effect Evaluation of Network Attack[J]. Journal of Beijing University of Posts and Telecommunications, 2006, 29(1): 124-127.
[12] Cao Y, Zhang L, Wu H.An evaluation system for network attack effect based on fuzzy[C]//E-Business and Information System Security. IEEE, 2009: 1-5.
[13] 王会梅, 江亮, 鲜明, 等. 计算机网络安全威胁效果灰色评估模型和算法[J]. 通信学报, 2009, 30(11): 17-22. Wang Huimei, Jiang Liang, Xian Ming, et al. Grey evaluation model and algorithm of network attack effectiveness[J]. Journal on Communications, 2009, 30(11): 17-22.
[14] 赵博夫, 殷肖川, 吴传芝. 基于灰色理论的安全威胁者安全威胁能力评估[J]. 计算机工程, 2011, 37(14): 114-117. Zhao Bofu, Yin Xiaochuan, Wu Chuanzhi. Attack Ability Evaluation of Attackers Based on Grey Theory[J]. Computer Engineering, 2011, 37(14): 114-117.