MLPXSS: An Integrated XSS-Based Attack Detection Scheme in Web Applications Using Multilayer Perceptron Technique. - Fawaz Mahiuob Mohammed Mokbal; Dan Wang 019; Azhar Imran; Jiuchuan Lin; Faheem Akhtar; Xiaoxi Wang (IEEE Access, 2019)

Data augmentation-based conditional Wasserstein generative adversarial network-gradient penalty for XSS attack detection system. - Fawaz Mahiuob Mohammed Mokbal; Dan Wang 019; Xiaoxi Wang; Lihua Fu (PeerJ Comput. Sci., 2020)

ML-LGBM: A Machine Learning Model Based on Light Gradient Boosting Machine for the Detection of Version Number Attacks in RPL-Based Networks. - Musa Osman; Jingsha He; Fawaz Mahiuob Mohammed Mokbal; Nafei Zhu; Sirajuddin Qureshi (IEEE Access, 2021)

XGBXSS: An Extreme Gradient Boosting Detection Framework for Cross-Site Scripting Attacks Based on Hybrid Feature Selection Approach and Parameters Optimization. - Fawaz Mahiuob Mohammed Mokbal; Dan Wang 019; Xiaoxi Wang; Wenbin Zhao; Lihua Fu (J. Inf. Secur. Appl., 2021)

An efficient intrusion detection framework based on embedding feature selection and ensemble learning technique. - Fawaz Mahiuob Mohammed Mokbal; Dan Wang 019; Musa Osman; Ping Yang; Saeed H. Alsamhi (Int. Arab J. Inf. Technol., 2022)

An ensemble learning framework for the detection of RPL attacks in IoT networks based on the genetic feature selection approach. - Musa Osman; Jingsha He; Nafei Zhu; Fawaz Mahiuob Mohammed Mokbal (Ad Hoc Networks, 2024)

HADTF: a hybrid autoencoder-decision tree framework for improved RPL-based attack detection in IoT networks based on enhanced feature selection approach. - Musa Osman; Jingsha He; Nafei Zhu; Fawaz Mahiuob Mohammed Mokbal; Asaad Ahmed (J. Supercomput., 2024)