A new approach based on game theory to reflect meta-cluster dependencies into VoIP attack detection using ensemble clustering

Author:

Bavifard Farid,Kheyrandish MohammadORCID,Mosleh Mohammad

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference40 articles.

1. Scarfone, K., Mell, P.: Guide to intrusion detection and prevention systems (idps) (No. NIST Special Publication (SP) 800–94 Rev. 1 (Draft)). National Institute of Standards and Technology (2012)

2. Salo, F., Injadat, M., Moubayed, A., Nassif, A. B., & Essex, A. (2019, February). Clustering enabled classification using ensemble feature selection for intrusion detection. In 2019 International Conference on Computing, Networking and Communications (ICNC) (pp. 276–281). IEEE.

3. Wankhade, K.K., Jondhale, K.C.: An ensemble clustering method for intrusion detection. Int. J. Intell. Eng. Inf. 7(2–3), 112–140 (2019)

4. Kuncheva, L. I., & Hadjitodorov, S. T. (2004, October). Using diversity in cluster ensembles. In 2004 IEEE international conference on systems, man and cybernetics (IEEE Cat. No. 04CH37583) (Vol. 2, pp. 1214–1219). IEEE.

5. Strehl, A., Ghosh, J.: Cluster ensembles–-a knowledge reuse framework for combining multiple partitions. J. Mach. Learn. Res. 3, 583–617 (2002)

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