Weighted Voting Game and Stochastic Learning Based Certificate Revocation for the Mobile Ad-hoc Network

KIPS Transactions on Computer and Communication Systems, Vol. 6, No.7, pp.315-320, July 2017
10.3745/KTCCS.2017.6.7.315, Full Text

Abstract

In this paper, I design a new scheme that is immune to malicious attack based on the weighted voting game. By using stochastic learning, the proposed scheme can revoke the certification of malicious node. Through the revocation process, the proposed scheme can effectively adapt the dynamic Mobile Ad hoc network situation. Simulation results clearly indicate that the developed scheme has better performance than other existing schemes under widely diverse network environments.


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Cite this paper

[KIPS Transactions Style]
M. J. Kim and S. W. Kim, "Weighted Voting Game and Stochastic Learning Based Certificate Revocation for the Mobile Ad-hoc Network," KIPS Transactions on Computer and Communication Systems, Vol.6, No.7, pp.315-320, 2017, DOI: 10.3745/KTCCS.2017.6.7.315.

[IEEE Style]
Min Jung Kim and Sung Wook Kim, "Weighted Voting Game and Stochastic Learning Based Certificate Revocation for the Mobile Ad-hoc Network," KIPS Transactions on Computer and Communication Systems, vol. 6, no. 7, pp. 315-320, 2017. DOI: 10.3745/KTCCS.2017.6.7.315.

[ACM Style]
Kim, M. J. and Kim, S. W. 2017. Weighted Voting Game and Stochastic Learning Based Certificate Revocation for the Mobile Ad-hoc Network. KIPS Transactions on Computer and Communication Systems, 6, 7, (2017), 315-320. DOI: 10.3745/KTCCS.2017.6.7.315.