Distributed Denial of Service Attack Detection for the Internet of Things Using Hybrid Deep Learning Model

Author:

Ahmim Ahmed1ORCID,Maazouzi Faiz1ORCID,Ahmim Marwa2ORCID,Namane Sarra2ORCID,Dhaou Imed Ben3ORCID

Affiliation:

1. Department of Mathematics and Computer Science, Mohamed-Cherif Messaadia University—Souk Ahras, Souk Ahras, Algeria

2. Department of Computer Science, Networks and Systems Laboratory, Badji Mokhtar-Annaba University, Annaba, Algeria

3. Department of Computer Science, Hekma School of Engineering, Computing, and Design, Dar Al-Hekma University, Jeddah, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 12 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. EC-NTD: Efficient countermeasure against DrDoS attacks with NAPT and two-stage detection in SDN-based networks;Computer Networks;2024-08

2. Network Intrusion Detection System using Random Forest and Gradient Boosting Machines;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

3. Machine Learning Algorithms for Binary and Multiclass Classification of IoT Network Traffic in Smart Cities;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

4. An Efficient DDoS Attack Detection using Attention based Hybrid Model in Blockchain based SDN-IoT;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

5. Improved Whale Optimization Algorithm and Optimized Long Short-Term Memory for DDoS Cyber Security Threat;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26

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