DDoS Attack Detection Using Machine Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-5997-6_34
Reference20 articles.
1. Sahu S, Verma A (2019) DDoS attack detection in ISP domain using machine learning. 2019 5th international conference on computing, communication, control and automation (ICCUBEA), 2019, pp 1–4.https://doi.org/10.1109/ICCUBEA47591.2019.9128624
2. Jadhav S, Vanjale SB, Mane PB (2014) Illegal access point detection using clock skews method in wireless LAN. 2014 international conference on computing for sustainable global development (INDIACom), New Delhi, India, 2014, pp 724–729. https://doi.org/10.1109/IndiaCom.2014.6828057
3. Aysa MH, Ibrahim AA, Mohammed AH (2020) IoT Ddos attack detection using machine learning. 2020 4th international symposium on multidisciplinary studies and innovative technologies (ISMSIT), pp 1–7. https://doi.org/10.1109/ISMSIT50672.2020.9254703
4. Mishra A, Gupta BB, Peraković D, Peñalvo FJG, Hsu C-H (2021) Classification based machine learning for detection of DDoS attack in cloud computing. 2021 IEEE international conference on consumer electronics (ICCE), 2021, pp 1–4.https://doi.org/10.1109/ICCE50685.2021.9427665
5. Musumeci F, Fidanci AC, Paolucci F et al (2022) Machine-learning-enabled DDoS attacks detection in P4 programmable networks. J Netw Syst Manage 30:21. https://doi.org/10.1007/s10922-021-09633-5
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