Abstract
Smart phones and computers now are able to co-work in a wireless environment where malware can propagate. Although many investigations have modeled the spread of malware, little has been done to take into account different characteristics of items to see how they affect disease diffusion in an ad hoc network. We have therefore developed a novel framework, consisting of two models, which consider diversity of objects as well as interactions between their different classes. Our framework is able to produce a huge result space thus makes it appropriate to describe many viral proliferating scenarios. Additionally, we have developed a formula to calculate the possible average number of newly infected devices in the considered system. An important contribution of our work is the comprehension of item diversity, which states that a mixture of device types causes a bigger malware spread as the number of device types in the network increases.
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References
Chen, T.M., Robert, J.M.: Worm epidemics in high-speed networks. Computer 37(6), 48–53 (2004)
Coursen, S.: The future of mobile malware. Network Security 2007(8), 7–11 (2007)
Hypponen, M.: Mobile malware. Invited talk, 16th USENIX Security symposium, http://www.usenix.org/events/sec07/tech/hypponen.pdf (accessed, October 2008)
Lancaster, P., Tismenetsky, M.: The theory of matrices: with applications, 2nd edn. Academic Press, London (1985)
Leavitt, N.: Mobile phones: the next frontiers for hackers? Computer 38(4), 20–23 (2005)
Mickens, J.W., Noble, B.D.: Modeling epidemic spreading in mobile environments. In: ACM Workshop on Wireless Security (2005)
Moore, D., Shannon, C., Claffy, K.: Code-red: A case study on the spread and victims of an Internet worm. In: Proceedings of the 2nd ACM SIGCOMM Workshop on Internet Measurement (2002)
Murray, J.D.: Mathematical biology: I. An introduction. Springer, Heidelberg (2002)
Nekovee, M.: Worm epidemics in wireless ad hoc networks. New Journal of Physics 9 (2007)
BBC news service. Mobiles get anti-virus protection, http://news.bbc.co.uk/2/hi/technology/4207476.stm (accessed, Octorber 2008)
Nguyen, H.-N., Shinoda, Y.: A novel analytical framework to model malware diffusion in heterogeneous wireless networks. In: Proceedings of the 10th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (2009)
Ortega, J.M.: Matrix theory: A second course. Plenum Press, New York (1987)
Ramachandran, K., Sikdar, B.: Modeling malware propagation in networks of smart cell phones with spatial dynamics. In: Proceedings of IEEE INFOCOM 2007 (2007)
Ramachandran, K., Sikdar, B.: On the stability of the malware free equilibrium in cell phones networks with spatial dynamics. In: IEEE International Conference on Communications, ICC 2007 (2007)
Su, J., Chan, K.K., Miklas, A.G., Po, K., Akhavan, A., Saroiu, S., Lara, E.D., Goel, A.: A preliminary investigation of worm infections in a bluetooth environment. In: Proceedings of the ACM Workshop on Rapid Malcode, WORM (2006)
Traynor, P., Enck, W., McDaniel, P., LaPorta, T.: Mitigating attacks on open functionality in SMS-capable cellular networks. In: Proceedings of MobiCom 2006 (2006)
Traynor, P., McDaniel, P., LaPorta, T.: On attack causality in Internet-connected cellular networks. In: Proceddings of 16th USENIX Security Symposium (2007)
van den Driessche, P., Watmough, J.: Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission. Mathematical Biosciences 180, 29–48 (2002)
Wierman, J.C., Marchette, D.J.: Modeling computer virus prevalence with a susceptible-infected-susceptible model with reintroduction. Computational Statistics and Data Analysis 45(1), 3–23 (2004)
Zou, C.C., Gong, W., Towsley, D.: Code red worm propagation modeling and analysis. In: Proceedings of the 9th ACM Conference on Computer and Communications Security (2002)
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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Nguyen, HN., Shinoda, Y. (2009). On Modeling Viral Diffusion in Heterogeneous Wireless Networks . In: Schmidt, A.U., Lian, S. (eds) Security and Privacy in Mobile Information and Communication Systems. MobiSec 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 17. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04434-2_21
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DOI: https://doi.org/10.1007/978-3-642-04434-2_21
Publisher Name: Springer, Berlin, Heidelberg
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