References

Abubakar, A. and B. Pranggono, 2017. Machine learning based intrusion detection system for software defined networks. Proceedings of the 2017 7th International Conference on Emerging Security Technologies (EST), September 6-8, 2017, IEEE, Canterbury, England, UK., pp: 138-143.

Ajaeiya, G.A., N. Adalian, I.H. Elhajj, A. Kayssi and A. Chehab, 2017. Flow-based intrusion detection system for SDN. Proceedings of the 2017 IEEE Symposium on Computers and Communications (ISCC), July 3-6, 2017, IEEE, Heraklion, Greece, pp: 787-793.

Bindra, N. and M. Sood, 2016. Is SDN the real solution to security threats in networks? A security update on various SDN models. Indian J. Sci. Technol., 9: 1-8.

Da Silva, A.S., C.C. Machado, R.V. Bisol, L.Z. Granville and A. Schaeffer-Filho, 2015. Identification and selection of flow features for accurate traffic classification in SDN. Proceedings of the 2015 IEEE 14th International Symposium on Network Computing and Applications, September 28-30, 2015, IEEE, Cambridge, Massachusetts, pp: 134-141.

Hartpence, B. and R. Rosario, 2016. Software defined networking for systems and network administration programs. USENIX J. Edu. Syst. Administration, 2: 12-42.
Direct Link  |  

Hoang, D.B. and M. Pham, 2015. On software-defined networking and the design of SDN controllers. Proceedings of the 2015 6th International Conference on the Network of the Future (NOF), September 30-October 2, 2015, IEEE, Montreal, Canada, pp: 1-3.

Sultana, N., N. Chilamkurti, W. Peng and R. Alhadad, 2019. Survey on SDN based network intrusion detection system using machine learning approaches. Peer-to-Peer Networking Appl., 12: 493-501.
CrossRef  |  Direct Link  |  

Tang, T.A., L. Mhamdi, D. McLernon, S.A.R. Zaidi and M. Ghogho, 2016. Deep learning approach for network intrusion detection in software defined networking. Proceedings of the 2016 International Conference on Wireless Networks and Mobile Communications (WINCOM), October 26-29, 2016, IEEE, Fez, Morocco, pp: 258-263.

Ushmani, A., 2014. Machine learning pattern matching. Int. J. Comput. Sci. Trends Technol., 7: 4-7.
Direct Link  |  

Vigneswaran, K.R., R. Vinayakumar, K.P. Soman and P. Poornachandran, 2018. Evaluating shallow and deep neural networks for network intrusion detection systems in cyber security. Proceedings of the 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT), July 10-12, 2018, IEEE, Bangalore, India, pp: 1-6.