Author:
Majumdar Pramathesh,Singh Archana,Pandey Ayushi,Chaudhary Pratibha
Reference13 articles.
1. C.D. McDermott, F. Majdani, A.V. Petrovski, Botnet detection in the internet of things using deep learning approaches, in 2018 International Joint Conference on Neural Networks (IJCNN) (IEEE, 2018), pp. 1–8
2. Q. Yan, F.R. Yu, Q. Gong, J. Li, Software-defined networking (SDN) and distributed denial of service (DDoS) attacks in cloud computing environments: a survey, some research issues, and challenges. IEEE Commun. Surv. Tutor. 18(1), 602–622 (2018)
3. P. Torres, C. Catania, S. Garcia, C.G. Garino, An analysis of Recurrent Neural Networks for Botnet detection behavior, in 2016 IEEE biennial congress of Argentina (ARGENCON) (IEEE, 2016), pp. 1–6
4. J.V. Roosmalen, H.P.E. Vranken, M.C.J.D. van Eekelen, H.H. Haddad, Applying deep learning on packet flows for botnet detection, in SAC18: The 17th edition of the Computer Security Track at the 33rd ACM Symposium on Applied Computing, 9–13 April 2018, Pau, France, ed. by H.H. Haddad (ACM, New York, 2018), pp. 1629–1637
5. H. Zin, C. Kim, M. Wu, S. Kim, Avoidance of channel interference in polygonal IoT networks. Concurr. Comput.: Pract. Exp. 29(11), e4060 (2017)