Investigation of application layer DDoS attacks in legacy and software-defined networks: A comprehensive review-Reference-Cited by-同舟云学术

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Investigation of application layer DDoS attacks in legacy and software-defined networks: A comprehensive review

Published:2023-08-07 Issue:6 Volume:22 Page:1949-1988
ISSN:1615-5262
Container-title:International Journal of Information Security
language:en
Short-container-title:Int. J. Inf. Secur.

Author:

Kaur Sarabjeet,Sandhu Amanpreet Kaur,Bhandari Abhinav

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10207-023-00728-5.pdf

Reference124 articles.

1. Singh, K., Singh, P., Kumar, K.: Application layer HTTP-GET flood DDoS attacks: research landscape and challenges. Comput. Secur. 65, 344–372 (2017). https://doi.org/10.1016/j.cose.2016.10.005

2. Ubale, T., Jain, A.K.: Survey on DDoS attack techniques and solutions in software-defined network. In: Gupta, B., Perez, G., Agrawal, D., Gupta, D. (eds.) Handbook of Computer Networks and Cyber Security. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-22277-2_15

3. Gadze, J.D., Acheampomaa Bamfo-Asante, A., Agyemang, O., Nunoo-Mensah, H., Adu-Boahen, K., Citation, O., Gadze, Bamfo-Asante, J.D. , Agyemang, A.A. , Nunoo-Mensah, J.O. , Opare, H., An, B.: An investigation into the application of deep learning in the detection and mitigation of DDOS attack on SDN controllers investigation into the application of deep learning in the detection and mitigation of DDOS attack on SDN. https://doi.org/10.3390/technologies (2021)

4. Tonkal, Ö., Polat, H., Başaran, E., Cömert, Z., Kocaoğlu, R.: Machine learning approach equipped with neighborhood component analysis for DDoS attack detection in software-defined networking. Electronics (Switzerland) (2021). https://doi.org/10.3390/electronics10111227

5. Kaur, S., Kumar, K., Aggarwal, N., Singh, G.: A comprehensive survey of DDoS defense solutions in SDN: taxonomy, research challenges, and future directions. In: Computers and Security (Vol. 110). Elsevier Ltd. https://doi.org/10.1016/j.cose.2021.102423 (2021)

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1. Unmasking SDN flow table saturation: fingerprinting, attacks and defenses;International Journal of Information Security;2024-08-04

2. Mitigating Denial of Service Attacks in Software-Defined Networking Environments;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

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