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A Differential Game-Theoretic Approach for the Intrusion Prevention Systems and Attackers in Wireless Networks

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Abstract

In this paper, we investigate the interactions between the intrusion prevention systems (IPSs) and attackers in wireless networks. We model this interactions as a non-cooperative differential game. In terms of model construction, each node is allowed to choose its optimal cost of resource consumption to contribute to the security problem depending on the state. We derive the optimal strategies for the attackers and the IPSs over time, respectively. Simulation analysis will be given to illustrate that the dynamic evolution of the defense strategy of the IPSs and the trajectory of the attackers based on the proposed scheme.

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References

  1. Chowdhury, A. (2016). Recent cyber security attacks and their mitigation approaches – An Overview. In L. Batten & G. Li (Eds.), Applications and techniques in information security. Communications in computer and information science (Vol. 651, pp. 54–65). Singapore: Springer.

    Google Scholar 

  2. Wei, J., Zhang, R., Liu, J., et al. (2015). Defense strategy of network security based on dynamic classification. Ksii Transactions on Internet & Information Systems, 9(12), 5116–5134.

    Google Scholar 

  3. Butun, I., Morgera, S. D., & Sankar, R. (2014). A survey of intrusion detection systems in wireless sensor networks. IEEE Communications Surveys & Tutorials, 16(1), 266–282.

    Article  Google Scholar 

  4. Yi, P., Zhu, T., Ma, J., et al. (2013). An intrusion prevention mechanism in mobile ad hoc networks. Ad Hoc & Sensor Wireless Networks, 17(3), 269–292.

    Google Scholar 

  5. Butun, I., Wang, Y., Lee, Y., et al. (2012). Intrusion prevention with two-level user authentication in heterogeneous wireless sensor networks. International Journal of Security and Networks, 7(2), 107–121.

    Article  Google Scholar 

  6. Das, M. L. (2009). Two-factor user authentication in wireless sensor networks. IEEE Transactions on Wireless Communications, 8(3), 1086–1090.

    Article  Google Scholar 

  7. Demirkol, I., Alagoz, F., Deliç, H., et al. (2006). Wireless sensor networks for intrusion detection: Packet traffic modeling. IEEE Communications Letters, 10(1), 22–24.

    Article  Google Scholar 

  8. Fuchsberger, A. (2005). Intrusion detection systems and intrusion prevention systems. Information Security Technical Report, 10(3), 134–139.

    Article  Google Scholar 

  9. Rodas, O., To, M. A., Alvarez, J., et al. (2015). Protecting wireless mesh networks through a distributed intrusion prevention framework. In 2015 7th IEEE Latin-American conference on communications (LATINCOM) (pp. 1–6). IEEE.

  10. Das, M. L. (2009). Two-factor user authentication in wireless sensor networks. IEEE Transactions on Wireless Communications, 8(3), 1086–1090.

    Article  Google Scholar 

  11. Alpcan, T., & Baar, T. (2010). Network security: A decision and game-theoretic approach. Cambridge: Cambridge University Press.

    Google Scholar 

  12. Agah, A., Das, S. K., Basu, K., et al. (2004). Intrusion detection in sensor networks: A non-cooperative game approach. In Network computing and applications.

  13. Bedi, H. S., Roy, S., & Shiva, S. (2011). Game theory-based defense mechanisms against DDoS attacks on TCP/TCP-friendly flows. In 2011 IEEE symposium on computational intelligence in cyber security (CICS) (pp. 129–136). IEEE.

  14. Li, F., Yang, Y., & Wu, J. (2010). Attack and flee: Game-theory-based analysis on interactions among nodes in MANETs. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 40(3), 612–622.

    Article  Google Scholar 

  15. Yeung, D. W. K., & Petrosjan, L. A. (2006). Cooperative stochastic differential games. Berlin: Springer.

    Google Scholar 

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Authors and Affiliations

  1. School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), Beijing, People’s Republic of China

    Li Miao & Shuai Li

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  1. Li Miao
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  2. Shuai Li
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Correspondence to Li Miao.

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Miao, L., Li, S. A Differential Game-Theoretic Approach for the Intrusion Prevention Systems and Attackers in Wireless Networks. Wireless Pers Commun 103, 1993–2003 (2018). https://doi.org/10.1007/s11277-018-5892-1

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