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Fawaz Mahiuob Mohammed Mokbal
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2020 – today
- 2024
- [j7]Musa Osman
, Jingsha He, Nafei Zhu, Fawaz Mahiuob Mohammed Mokbal:
An ensemble learning framework for the detection of RPL attacks in IoT networks based on the genetic feature selection approach. Ad Hoc Networks 152: 103331 (2024) - [j6]Musa Osman
HADTF: a hybrid autoencoder-decision tree framework for improved RPL-based attack detection in IoT networks based on enhanced feature selection approach. J. Supercomput. 80(18): 26333-26362 (2024) - 2022
- [j5]Fawaz Mahiuob Mohammed Mokbal, Dan Wang, Musa Osman
An efficient intrusion detection framework based on embedding feature selection and ensemble learning technique. Int. Arab J. Inf. Technol. 19(2): 237-248 (2022) - 2021
- [j4]Musa Osman
ML-LGBM: A Machine Learning Model Based on Light Gradient Boosting Machine for the Detection of Version Number Attacks in RPL-Based Networks. IEEE Access 9: 83654-83665 (2021) - [j3]Fawaz Mahiuob Mohammed Mokbal, Dan Wang, Xiaoxi Wang, Wenbin Zhao, Lihua Fu:
XGBXSS: An Extreme Gradient Boosting Detection Framework for Cross-Site Scripting Attacks Based on Hybrid Feature Selection Approach and Parameters Optimization. J. Inf. Secur. Appl. 58: 102813 (2021) - 2020
- [j2]Fawaz Mahiuob Mohammed Mokbal, Dan Wang, Xiaoxi Wang, Lihua Fu:
Data augmentation-based conditional Wasserstein generative adversarial network-gradient penalty for XSS attack detection system. PeerJ Comput. Sci. 6: e328 (2020)
2010 – 2019
- 2019
- [j1]Fawaz Mahiuob Mohammed Mokbal
MLPXSS: An Integrated XSS-Based Attack Detection Scheme in Web Applications Using Multilayer Perceptron Technique. IEEE Access 7: 100567-100580 (2019)
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last updated on 2024-11-08 20:28 CET by the dblp team
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