An efficient DDoS attack detection and categorization using adolescent identity search-based weighted SVM model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s12083-023-01460-6.pdf
Reference26 articles.
1. Almaraz-Rivera JG, Perez-Diaz JA, Cantoral-Ceballos JA (2022) Transport and application layer DDoS attacks detection to IoT devices by using machine learning and deep learning models. Sensors 22(9):3367. https://doi.org/10.3390/s22093367
2. Beitollahi H, Sharif D, Fazeli M (2022) Application layer DDoS attack detection using Cuckoo Search algorithm-trained Radial Basis Function. IEEE Access
3. Sambangi S, Gondi L (2020) A machine learning approach for DDoS (distributed denial of service) attack detection using multiple linear regression. Proceedings 63(1):51. MDPI
4. Lima Filho FSD, Silveira FA, de Medeiros Brito Junior A, Vargas-Solar G, Silveira LF (2019) Smart detection: an online approach for DoS/DDoS attack detection using machine learning. Secur Commun Netw 2019
5. Shurman MM, Khrais RM, Yateem AA (2020) DoS and DDoS attack detection using deep learning and IDS. Int Arab J Inf Technol 17(4A):655–661
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