Data Flooding Intrusion Detection System for MANETs Using Deep Learning Approach

Author:

Sbai Oussama1,El boukhari Mohamed1

Affiliation:

1. Department of Applied Engineering, ESTO (Higher School of Technology), Mohammed 1st University, Oujda, Morocco

Publisher

ACM

Cited by 14 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. Enhancing DNS Light Attack Detection through RNN-RF Integration for Imbalanced Data;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

2. Two-Pronged Intrusion Detection System for MANET;2024 International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS);2024-04-22

3. Adversarially robust and real-time DDoS detection and classification framework using AutoML;Information Security Journal: A Global Perspective;2024-04-04

4. TCP-CNNLSTM: Congestion Control Scheme for MANET using AI Technologies;2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS);2023-08-23

5. AFA: Anti-Flooding Attack Scheme Against Flooding Attack in MANET;Wireless Personal Communications;2023-03-09

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