Fawaz Mahiuob Mohammed Mokbal
Orcid: 0000-0002-2905-4729
According to our database1,
Fawaz Mahiuob Mohammed Mokbal
authored at least 7 papers
between 2019 and 2024.
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Bibliography
2024
HADTF: a hybrid autoencoder-decision tree framework for improved RPL-based attack detection in IoT networks based on enhanced feature selection approach.
J. Supercomput., December, 2024
An ensemble learning framework for the detection of RPL attacks in IoT networks based on the genetic feature selection approach.
Ad Hoc Networks, January, 2024
2022
An efficient intrusion detection framework based on embedding feature selection and ensemble learning technique.
Int. Arab J. Inf. Technol., 2022
2021
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., 2021
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, 2021
2020
Data augmentation-based conditional Wasserstein generative adversarial network-gradient penalty for XSS attack detection system.
PeerJ Comput. Sci., 2020
2019
MLPXSS: An Integrated XSS-Based Attack Detection Scheme in Web Applications Using Multilayer Perceptron Technique.
IEEE Access, 2019