Modeling the propagation of Peer-to-Peer worms

Future Generation Computer Systems

Volumn 26, Issue 8, 2010, Pages 1433-1443

  Fan, Xiang ^a   Xiang, Yang ^b  

^a CENTRAL QUEENSLAND UNIVERSITY   (Australia)

^b DEAKIN UNIVERSITY   (Australia)

Author keywords

Defense; Invasive software; Modeling; Network security; Peer to Peer; Propagation; Worms

Indexed keywords

DISCRETE-TIME; IN-NETWORK; INVASIVE SOFTWARE; MATRIX; MATRIX APPROACH; P2P WORM; PEER TO PEER; PROPAGATION CHARACTERISTICS; PROPAGATION MODELS; PROPAGATION PROCESS; SECURITY RESEARCH; SIMULATION EXPERIMENTS; STRUCTURED P2P; UNSTRUCTURED P2P NETWORK; WORM PROPAGATION;

COMPUTER CRIME; COMPUTER SOFTWARE; DIFFERENCE EQUATIONS; DISTRIBUTED COMPUTER SYSTEMS; INTERNET; NETWORK SECURITY; RESEARCH;

PEER TO PEER NETWORKS;

EID: 77955517954     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2010.04.009     Document Type: Article

References (21)

1. N. Weaver, V. Paxson, S. Staniford, R. Cunningham, A taxonomy of computer worms, in: WORM'03, Washington, DC, USA, 2003, pp. 1118.
2. D. Moore, C. Shannon, J. Brown, Code-red: a case study on the spread and victims of an internet worm, in: IMW'02, Marseille, France, 2002, pp. 273284.
3. C.C. Zou, D. Towsley, W. Gong, On the performance of internet worm scanning strategies, University of Massachusetts Technical Report: TR-03-CSE-07, 2003.
4. C.C. Zou, D. Towsley, W. Gong, S. Cai, Routing worm: a fast, selective attack worm based on IP address information, in: PADS'05, 2005, pp. 199206.
5. Z. Chen, C. Ji, Importance-scanning worm using vulnerable-host distribution, in: IEEE GLOBECOM, 2005, pp. 17791784.
6. Z. Chen, C. Ji, A self-learning worm using importance scanning, in: WORM'05, Fairfax, VA, USA, 2005, pp. 2229.
7. E.H. Spafford The internet worm program: an analysis ACM SIGCOMM Computer Communication Review 19 1989 17 57
8. I. Arce, and E. Levy An analysis of the Slapper worm IEEE Security & Privacy 2003 82 87
9. W. Yu, Analyze the worm-based attack in large scale P2P networks, in: The 8th IEEE International Symposium on High Assurance Systems Engineering, HASE 2004, 2004.
10. C.C. Zou, W. Gong, D. Towsley, Code Red worm propagation modeling and analysis, in: CCS'02, Washington, DC, USA, 2002, pp. 138147.
11. R.M. Anderson, and R.M. May Infectious Diseases of Humans: Dynamics and Control 1991 Oxford University Press Oxford
12. H. Andersson, and T. Britton Stochastic Epidemic Models and their Statistical Analysis 2000 Springer-Verlag New York
13. N.T. Bailey The Mathematical Theory of Infectious Diseases and its Applications 1975 Hafner Press New York
14. J.C. Frauenthal Mathematical Modeling in Epidemiology 1980 Springer-Verlag New York
15. S. Staniford, V. Paxson, N. Weaver, How to own the internet in your spare time, in: Security'02, San Francisco, CA, USA, 2002, pp. 149167.
16. Z. Chen, L. Gao, K. Kwiat, Modeling the spread of active worms, in: IEEE INFOCOM, 2003, pp. 18901900.
17. Y. Wang, C. Wang, Modeling the effects of timing parameters on virus propagation, in: WORM'03, Washington, DC, USA, 2003, pp. 6166.
18. K. Rohloff, T. Basar, Stochastic behavior of random constant scanning worms, in: 14th ICCCN, San Diego, CA, USA, 2005, pp. 339344.
19. D.J. Daley, and J. Gani Epidemic Modelling: An Introduction 1999 Cambridge University Press Cambridge
20. S. Sellke, N.B. Shroff, S. Bagchi, Modeling and automated containment of worms, in: DSN'05, 2005, pp. 528537.
21. Y. Xiang, X. Fan, and W. Zhu Propagation of active worms: a survey International Journal of Computer Systems Science & Engineering 24 2009 157 172