Author:
Al-kasassbeh Mouhammd,Abbadi Mohammad A.,Al-Bustanji Ahmed M.
Publisher
Springer International Publishing
Reference22 articles.
1. Al-Kasassbeh, M., Mohammed, S., Alauthman, M., Almomani, A.: Feature selection using a machine learning to classify a malware. In: Handbook of Computer Networks and Cyber Security, pp. 889–904. Springer, Cham (2020)
2. Al-kasassbeh, M., Almseidin, M., Alrfou, K., Kovacs, S.: Detection of IoT-botnet attacks using fuzzy rule interpolation. J. Intell. Fuzzy Syst. 38(1) (2020)
3. Su, J., Vargas, D.V., Prasad, S., Sgandurra, D., Feng, Y., Sakurai, K.: Lightweight classification of IoT malware based on image recognition. In: Proceedings - International Computer Software and Applications Conference, vol. 2, pp. 664–669, 11 February 2018
4. Meidan, Y., Bohadana, M., Mathov, Y., Mirsky, Y., Shabtai, A., Breitenbacher, D., Elovici, Y.: N-BaIoT-network-based detection of IoT botnet attacks using deep autoencoders. IEEE Pervasive Comput. 17(3), 12–22 (2018)
5. Alauthman, M., Aslam, N., Al-kasassbeh, M., Khan, S., Choo, K.-K.R.: An efficient reinforcement learning-based Botnet detection approach. J. Netw. Comput. Appl. 150(15), 102479 (2020)
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