Welcome to Journal of University of Chinese Academy of Sciences,Today is
Research Articles

An efficiency evaluation methodology of DoS attack and defense mechanisms based on queueing theory

  • WANG Bi-Da ,
  • LIAN Yi-Feng
Expand
  • 1. State Key Laboratory of Information Security, Graduate University of the Chinese Academy of Sciences,Beijing 100049,China;
    2. Institute of Software, Chinese Academy of Sciences, Beijing 100190, China;
    3. National Engineering Research Center of Information Security(NERCIS), Beijing 100080, China

Received date: 2009-05-15

  Revised date: 2009-07-28

  Online published: 2010-01-15

Abstract

This paper presents a new efficiency evaluation methodology of DoS attack and defense mechanisms based on queueing theory. The unified index system and evaluation algorithm were proposed for various types of DoS attack and prevention. We also built queueing models to do the quantitative assessment and analyze objectively the efficiency of UDP Flood and SYN Flood. Network simulation tools were used in typical DoS attack scenarios. The rationality of the queueing models is verified through comparison of the experimental data with the results derived by the models. In addition, the utilization of this evaluation method in efficiency comparison of different types of DoS attack and defense mechanisms is illuminated through examples.

Cite this article

WANG Bi-Da , LIAN Yi-Feng . An efficiency evaluation methodology of DoS attack and defense mechanisms based on queueing theory[J]. Journal of University of Chinese Academy of Sciences, 2010 , 27(1) : 107 -116 . DOI: 10.7523/j.issn.2095-6134.2010.1.014

References


[1] Mirkovic J, Hussain A, Wilson B, et al. A user-centric metric for denial-of-service measurement //Experimental Computer Science on Experimental Computer Science. Berkeley, CA, USA: USENIX Association, 2007: 7.

[2] Su P, Chen X, Tang H. DoS attack impact assessment based on 3GPP QoS indexes //Proceedings of the 2008 3rd International Conference on Innovative Computing Information and Control Volume 00. Washington, DC, USA: IEEE Computer Society, 2008: 103.

[3] Aburrous M, Hossain M, Thabatah F, et al. Intelligent quality performance assessment for E-Banking security using fuzzy logic //Proceedings of the Fifth International Conference on Information Technology. New Generations, Washington, DC, USA: IEEE Computer Society, 2008: 420- 425.

[4] Chen T W, Sortais M, Schafer M, et al. Performance analysis of a denial of service protection scheme for optimized and QoS-aware handover
[J]. Computer Networks: The International Journal of Computer and Telecommunications Networking, 2005, 49(3):449- 464.

[5] Yin Q. Research of SIP DoS attack defense mechanism based on queue theory
[J]. Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), 2008, 20(4):471- 474 (in Chinese). 殷 茜. 基于排队论的SIP DoS攻击防御机制的研究
[J]. 重庆邮电大学学报:自然科学版, 2008, 20(4):471- 474.

[6] Wang Y, Lin C, Li Q, et al. A queueing analysis for the denial of service (DoS) attacks in computer networks
[J]. Computer Networks: The International Journal of Computer and Telecommunications Networking, 2007, 51(12):3564-3573.

[7] Bellaiche M, Gregoire J. Measuring defense systems against flooding attacks //Wireless Communications and Mobile Computing Conference. 2008: 600- 605.

[8] Zhang S J, Li J H, Chen X Z, et al. Method research for defending against distributed denial-of-service attacks based on dynamic game theory
[J]. Journal of Shanghai Jiaotong University, 2008, 42(2):198-201 (in Chinese). 张少俊, 李建华, 陈秀真, 等. 基于动态博弈理论的分布式拒绝服务攻击防御方法 . 上海交通大学学报, 2008, 42(2):198-201.

[9] Shi P, Lian Y F. Game-theoretical effectiveness evaluation of DDoS defense //The Seventh International Conference on Networking. 2008: 427- 433.

[10] Willig A. A short introduction to queueing theory
[M]. Technical University Berlin, 1999.

[11] Tijms H. New and old results for the M/D/c queue
[J]. AEU-International Journal of Electronics and Communications, 2006, 60(2):125-130.

[12] Bertsekas D P, Gallager. Data networks
[M]. 2nd edition. Prentice Hall, 1992.

[13] Fall K, Varadhan K. The ns manual . 2009- 01- 06 05- 01]. http://www.isi.edu/nsnam/ns/doc/index.html.

[14] Fui-Hoon F, Nah. A study on tolerable waiting time: how long are web users willing to wait?
[J]. Behaviour & Information Technology, 2004, 23(3):153.

[15] Thomas R. UNIX IP stack tuning guide . 2000-12- 03 05- 01]. http://www.cymru.com/Documents/ip-stack-tuning.html.

Outlines

/