Skip to main content

Modeling and Analysis of Worm and Killer-Worm Propagation Using the Divide-and-Conquer Strategy

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3719))

Abstract

A new approach to fight against Internet worms through the use the worm-killing worm has been presented. This paper attempts to model the interaction between the two worms using the divide-and-conquer strategy. We extends the idea of the killer-worm and divide it into three basic types. 1) Patching type: It only installs the patches on the susceptible machines; 2) Predator type: It only kills the worm (it may also patch the infected machines); 3) Composition type: It does both the jobs. The state transition diagram of the two worms and a mathematical model for every type are given. The results by dynamic simulation with the help of MATLAB are obtained.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Spafford, E.H.: The internet worm incident. In: Ghezzi, C., McDermid, J.A. (eds.) ESEC 1989. LNCS, vol. 387. Springer, Heidelberg (1989)

    Google Scholar 

  2. eEye Digital Security, ANALYSIS: .ida “Code Red Worm”, http://www.eeye.com/html/Research/Advisories/AL20010717.html

  3. eEye Digital Security, ANALYSIS: CodeRed II Worm, http://www.eeye.com/html/Research/Advisories/AL20010804.html

  4. Russell, R., Machie, A.: Code Red II Worm. Tech. Rep, Incident Analysis, Secrity Focus (August 2001)

    Google Scholar 

  5. Machie, A., Roculan, J., Russell, R., Velzen, M.V.: Nimda Worm Analysis, Tech. Rep, Inci-dent Analysis, Security Focus (September 2001)

    Google Scholar 

  6. CERT/CC, CERT®̂ Advisory CA-2001-26, Nimda Worm, http://www.cert.org/advisories/CA-2001-26.html

  7. CERT/CC, CERT®̂ Advisory CA-2003-04 MS-SQL Server Worm, http://www.cert.org/advisories/CA-2003-04.html

  8. Moore, D., et al.: The spread of the Sapphire/Slammer worm, a NANOG presentation, http://www.nanog.org/mtg-0302/ppt/worm.pdf

  9. EEye Digital Security. Blaster worm analysis (2003), http://www.eeye.com/html/Research/Advisories/AL20030811.html

  10. CCERT, CCERT advisory on W32.Sasser, http://www.ccert.edu.cn/notice/show.php?handle=102 (in Chinese)

  11. db.Kingsoft.com., Worms report (2004), http://db.kingsoft.com/c/2004/12/29/164830.shtml (in Chinese)

  12. Toyoizumi, H., Kara, A.: Predators: good will mobile codes combat against computer vi-ruses, New Security Paradigms Workshop 2002, Virginia Beach, USA, September 23-26 (2002)

    Google Scholar 

  13. Herbert HexXer, Code Green, http://www.securityfocus.com/archive/82/211428

  14. CCERT, CCERT advisory on W32, Nachi.Worm, http://www.ccert.edu.cn/announce/show.php?handle=93 (in Chinese)

  15. Knowles, D., Perriot, F., Szor, P.: Symantec security response: W32/Nachi.A, http://www.f-prot.com/virusinfo/descriptions/nachi_A.html

  16. Zou, C.C., Gong, W., Towsley, D.: On the performance of Internet worm scanning strategies, Technical Report, TR-03-CSE-07, Electrical and Computer Engineering Department, Uni-versity of Massachusetts (2003)

    Google Scholar 

  17. Frauenthal, J.C.: Mathematical Modeling in Epidemiology, New York. Springer, Heidelberg (1980)

    MATH  Google Scholar 

  18. Zou, C.C., Gong, W., Towsley, D.: Code Red worm propagation modeling and analysis. In: Proc. of the 9th ACM Symp. on Computer and Communication Security, Washington, pp. 138–147 (2002)

    Google Scholar 

  19. Feng, Y., Haixin, D., Xing, L.: Modeling and analysis on the interaction between the Internet worm and anti-worm. SCIENCE IN CHINA Ser. E Information Sciences 34(8), 841–856 (2004) (in Chinese)

    Google Scholar 

  20. Staniford, S., Paxson, V., Weaver, N.: How to Own the Internet in Your Spare Time. In: 11th Usenix Security Symposium, San Francisco (August 2002)

    Google Scholar 

  21. Zou, C.C., Gao, L., Gong, W., Towsley, D.: Monitoring and early warning for Internet worms, Technical Report, TR-CSE-03-01, Electrical and Computer Engineering Department, Uni-versity of Massachusetts (2003)

    Google Scholar 

  22. Wen, W.P., Qin, S.H., Jiang, J.C., Wang, Y.J.: Research and Development of Internet Worms. J. of Software 15(8), 1208–1219 (2004) (in Chinese)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wu, D., Long, D., Wang, C., Guan, Z. (2005). Modeling and Analysis of Worm and Killer-Worm Propagation Using the Divide-and-Conquer Strategy. In: Hobbs, M., Goscinski, A.M., Zhou, W. (eds) Distributed and Parallel Computing. ICA3PP 2005. Lecture Notes in Computer Science, vol 3719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11564621_43

Download citation

  • DOI: https://doi.org/10.1007/11564621_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29235-7

  • Online ISBN: 978-3-540-32071-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics