Abstract
The paper proposes the original node of the spreading path of the virus must be the source of the virus. However most network virus have more than one spreading channels and the hints of the virus’ spreading are also unclear. The paper establishes a fuzzy source tracing equations for the network virus. Working out the equations repeatedly, the paper gets the spreading path of the virus; thus the start node of the path should be the source of the virus in the network. Finally, the paper carries out the simulation test. The results of the test verify our tracing model and methods of working out the equations. Thus the paper opens a theoretic fuzzy way to tracing the source of net viruses.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Wang, C., Knight, J.C., Elder, M.C.: On computer viral infection and the effect of immunization. In: Proceedings of the 16th ACM Annual Computer Security Applications Conference, December 2000, ACM Press, New York (2000)
Steve, R.: White, Open Problems in Computer Virus Research. Virus Bulletin Conference, Munich, Germany, October (1998)
Tarantola, A.: Inverse Problem Theory and Model Parameter Estimation. Society of Industrial and Applied Mathematics (SIAM), 5–67 (2004)
Aster, R.C., Borchers, B., Thurber, C.H.: Parameter Estimation and Inverse Problems, pp. 3–23. Elsevier, Amsterdam (2005)
Jose Roberto, C.P., Betyna, F.N., Liuz, H.A.M.: Epidemiological Models Applied to Viruses in Computer Networks. Jounal of Computer Science 1(1), 31–34 (2005)
Zou, C.C., Towsley, D., Gong, W.: Email Virus Propagation Modeling and Analysis, Technical Report: TR-CSE-03-04 (2003)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Han, L., Han, S., Peng, B., Washington, V. (2007). Fuzzy Tracing the Source of Net-Virus. In: Cao, BY. (eds) Fuzzy Information and Engineering. Advances in Soft Computing, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71441-5_6
Download citation
DOI: https://doi.org/10.1007/978-3-540-71441-5_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71440-8
Online ISBN: 978-3-540-71441-5
eBook Packages: EngineeringEngineering (R0)