Treating scalability and modelling human countermeasures against local preference worms via gradient models

Journal in Computer Virology

Volumn 5, Issue 4, 2009, Pages 357-364

  Avlonitis, Markos ^a   Magkos, Emmanouil ^a   Stefanidakis, Michalis ^a   Chrissikopoulos, Vassilis ^a  

^a Ionian University   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL RESULTS; CONNECTED SYSTEMS; GLOBAL PROPAGATION; GRADIENT MODEL; IN-NETWORK; MALICIOUS SOFTWARE; NETWORK WORMS; NONUNIFORM; PROPAGATION DYNAMICS; PROPAGATION MODELS; PROPAGATION RATE; RANDOM FIELDS; RANDOM SCANNING; SCANNING WORMS; SIMULATION RESULT; TIME AND SPACE; WORM PROPAGATION;

COMPUTER CRIME; DIFFERENTIAL EQUATIONS; MATHEMATICAL MODELS; SCALABILITY; SCANNING; SIMULATORS;

INTERNET;

EID: 70350622453     PISSN: 17729890     EISSN: 17729904     Source Type: Journal    
DOI: 10.1007/s11416-008-0099-8     Document Type: Article

References (25)

1. Avlonitis M., Magkos E., Stefanidakis M., Chrissikopoulos V.: A spatial stochastic model for worm propagation: scale effects. J. Comput. Virol. 3, 87-92 (2007).
2. Cert/c, C.: Cert advisory ca-2001-26 nimda worm (2001).
3. Moore, D., Shannon, C., Claffy, K.C.: Code-red: A case study on the spread and victims of an internet worm. In: IMW'02: Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment, pp. 273-284. ACM, New York (2002).
4. Moore D., Paxson V., Savage S., Shannon C., Staniford S., Weaver N.: Inside the slammer worm. IEEE Secur. Priv. 1, 33-39 (2003).
5. Berghel H.: Malware month. Commun. ACM 46, 15-19 (2003).
6. Shannon C., Moore D.: The spread of the witty worm. IEEE Secur. Priv. 2, 46-50 (2004).
7. Staniford, S., Paxson, V., Weaver, N.: How to own the internet in your spare time. In: Proceedings of the 11th USENIX Security Symposium, pp. 149-167. USENIX Association, Berkeley (2002).
8. Zou C.C., Towsley D., Gong W., Cai S.: Advanced routing worm and its security challenges. Simul. 82, 75-85 (2006).
9. Wu, J., V.S.G.L., Kwiat, K.: An effective architecture and algorithm for detecting worms with various scan techniques. In: 11th Annual Network and Distributed System Security Symposium (NDSS'04), San Diego (2004).
10. Chen, Z., Chen, C., Ji, C.: Understanding localized-scanning worms. In: 26th IEEE International Performance Computing and Communications Conference, IPCCC 2007, pp. 186-193 (2007).
11. Zou C.C., Towsley D., Gong W.: On the performance of internet worm scanning strategies. Perform. Eval. 63, 700-723 (2006).
12. Keromytis A.D., Bellovin S.M., Cheswick B.: Worm propagation strategies in an ipv6 internet. USENIX, login 31, 70-76 (2006).
13. Zou C., Gong W., Towsley D., Gao L.: The monitoring and early detection of internet worms. ACM Trans. Networking 13, 961-974 (2005).
14. Yu, W., Wang, X., Xuan, D., Lee, D.: Effective detection of active worms with varying scan rate. International Conference on Security and Privacy in Communication Networks (IEEE SecureComm), pp. 1-10 (2006).
15. Morin B., Mé L.: Intrusion detection and virology: An analysis of differences, similarities and complementariness. J. Comput. Virol. 3, 39-49 (2007).
16. Serazzi, G., Zanero, S.: Computer virus propagation models. In: MASCOTS Tutorials. Volume 2965 of Lecture Notes in Computer Science, pp. 26-50. Springer, Heidelberg (2003).
17. Zou, C.C., Gong, W., Towsley, D.: Code red worm propagation modeling and analysis. In: CCS '02: Proceedings of the 9th ACM conference on Computer and communications security, pp. 138-147. ACM, New York (2002).
18. Anderson R.M., May R.M.: Infectious diseases of humans: Dynamics and control. Oxford Science Publications, (1992).
19. Kephart, J.O., White, S.R.: Directed-graph epidemiological models of computer viruses. In: IEEE Symposium on Security and Privacy, pp. 343-361 (1991).
20. Onwubiko C., Lenaghan A., Hebbes L.: An improved worm mitigation model for evaluating the spread of aggressive network worms. Computer as a Tool, 2005. EUROCON 2005. Int. Conf. 2, 1710-1713 (2005).
21. Wang, Y., Wang, C.: Modeling the effects of timing parameters on virus propagation. In: WORM '03: Proceedings of the 2003 ACM workshop on Rapid malcode, pp. 61-66. ACM, New York (2003).
22. Kesidis, G., Hamadeh, I., Jiwasurat, S.: Coupled kermack-mckendrick models for randomly scanning and bandwidth-saturating internet worms. In: Quality of Service in Multiservice IP Networks, Third International Workshop, QoS-IP 2005. Lecture Notes in Computer Science, vol. 3375, pp. 101-109. Springer, Heidelberg (2005).
23. Vanmarcke E.: Random fields, analysis and synthesis. MIT Press, Cambridge (1983).
24. Ludwig D.J.D., Holling C.: Qualitative analysis of insect outbreak systems: The spruce budworm and forest. J. Anim. Ecol. 47, 315-332 (1978).
25. Avlonitis M. Zaiser M.A.E.C.: Nucleation and non-linear strain localization during cyclic plastic deformation. J. Mech. Behav. Mater. 18, 69-79 (2007).