Evaluating the Performance of LSTM and GRU in Detection of Distributed Denial of Service Attacks Using CICDDoS2019 Dataset-Reference-Cited by-同舟云学术

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Evaluating the Performance of LSTM and GRU in Detection of Distributed Denial of Service Attacks Using CICDDoS2019 Dataset

Published:2022 Issue: Volume: Page:395-406
ISSN:2367-4512
Container-title:Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications
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Author:

Subrmanian Malliga,Shanmugavadivel Kogilavani,Nandhini P. S.,Sowmya R.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2948-9_38

Reference20 articles.

1. Hsieh C-J, Chan T-Y, Detection of DDoS attacks based on neural network using apache spark. In: International conference on applied system innovation (ICASI), 26–30 May 2016. https://doi.org/10.1109/ICASI.2016.7539833

2. Ferrag MA, Maglaras L, Moschoyiannis S, Janicke H (2020) Deep learning for cyber security intrusion detection: approaches, data sets, and comparative study. J Inf Secur Appl 50(4)

3. Doriguzzi-Corin R, Millar S, Scott-Hayward S, Martinez-del-Rinconand J, Siracusa D, LUCID: a practical, lightweight deep learning solution for DDoS attack detection IEEE Trans Netw Serv Manage. https://doi.org/10.1109/TNSM.2020.2971776

4. Asad M, Asim M, Javed T, Beg MO, Mujtaba H, Abbas S (2020) Deep detect: detection of distributed denial of service attacks using deep learning. Comput J 63(7):983–994

5. Anthi E, Williams L, Burnap P, Pulse: an adaptive intrusion detection for the internet of things. In: Living in the internet of things: cybersecurity of the IoT—2018 conference, 28–29 Mar 2018. https://doi.org/10.1049/cp.2018.0035

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparative Study for Identifying and Categorizing DDoS Attacks;2024 21st Learning and Technology Conference (L&T);2024-01-15

2. A Deep Learning and Optimization Method for Detecting Network Intrusion in IOT;2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE);2022-12-16

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