DDoS detection in 5G-enabled IoT networks using deep Kalman backpropagation neural network-Reference-Cited by-同舟云学术

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DDoS detection in 5G-enabled IoT networks using deep Kalman backpropagation neural network

Published:2021-04-17 Issue:11 Volume:12 Page:3337-3349
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Almiani Muder,AbuGhazleh Alia,Jararweh Yaser,Razaque Abdul

Funder

Al-Hussien Bin Talal University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s13042-021-01323-7.pdf

Reference35 articles.

1. Abdulqadder IH, Zou D, Aziz IT, Yuan, B (2018) Enhanced attack aware security provisioning scheme in SDN/NFV enabled over 5G network. In: 2018 27th International Conference on Computer Communication and Networks (ICCCN), 1–9. https://doi.org/10.1109/ICCCN.2018.8487339

2. AbuGhazleh A, Almiani M, Magableh B, Razaque A (2019) Intelligent intrusion detection using radial basis function neural network. In: 2019 Sixth International Conference on Software Defined Systems (SDS), pp 200–208. https://doi.org/10.1109/SDS.2019.8768575

3. Almiani M, AbuGhazleh A, Al-Rahayfeh A, Atiewi S, Razaque A (2020) Deep recurrent neural network for IoT intrusion detection system. Simul Model Pract Theory 101:102031. https://doi.org/10.1016/j.simpat.2019.102031

4. Azmoodeh A, Dehghantanha A, Choo K-KR (2019) Robust malware detection for internet of (Battlefield) things devices using deep Eigenspace learning. IEEE Trans Sustain Comput 4(1):88–95. https://doi.org/10.1109/TSUSC.2018.2809665

5. Bassey J, Adesina D, Li X, Qian L, Aved A, Kroecker T (2019) Intrusion detection for IoT devices based on RF fingerprinting using deep learning. In: 2019 Fourth International Conference on Fog and mobile edge computing (FMEC), 98–104. https://doi.org/10.1109/FMEC.2019.8795319

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