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Attack prevention in IoT through hybrid optimization mechanism and deep learning framework

  • Published:2022-12 Issue: Volume:24 Page:100431
  • ISSN:2665-9174
  • Container-title:Measurement: Sensors
  • language:en
  • Short-container-title:Measurement: Sensors

Author:

Nagaraju Regonda,Pentang Jupeth Toriano,Abdufattokhov Shokhjakhon,CosioBorda Ricardo Fernando,Mageswari N.,Uganya G.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanics of Materials,Electronic, Optical and Magnetic Materials

Cited by 10 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. Genetic fuzzy rules and hybrid QDCNN-F-DSAE for detecting attacker behavior with tuning of firewall;Australian Journal of Electrical and Electronics Engineering;2024-07-18

2. Securing cloud-based medical data: an optimal dual kernal support vector approach for enhanced EHR management;International Journal of System Assurance Engineering and Management;2024-05-25

3. A Hybrid Meta-heuristics Algorithm: XGBoost-Based Approach for IDS in IoT;SN Computer Science;2024-05-10

4. Optimizing IoT Threat Mitigation with Artificial Intelligence in Banking: A Multi-Objective Approach;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15

5. Landscape View of Hyperparameter Optimization Cybersecurity by Using Bio-Inspired Algorithm;Algorithms for Intelligent Systems;2024
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