Fawaz Mahiuob Mohammed Mokbal

According to our database, Fawaz Mahiuob Mohammed Mokbal authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

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, January, 2024

2022

An efficient intrusion detection framework based on embedding feature selection and ensemble learning technique.

Fawaz Mahiuob Mohammed Mokbal, Dan Wang, Musa Osman, Ping Yang, Saeed H. Alsamhi

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.

Fawaz Mahiuob Mohammed Mokbal, Dan Wang, Xiaoxi Wang, Wenbin Zhao, Lihua Fu

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.

Musa Osman, Jingsha He, Fawaz Mahiuob Mohammed Mokbal, Nafei Zhu, Sirajuddin Qureshi

IEEE Access, 2021

2020

Data augmentation-based conditional Wasserstein generative adversarial network-gradient penalty for XSS attack detection system.

Fawaz Mahiuob Mohammed Mokbal, Dan Wang, Xiaoxi Wang, Lihua Fu

PeerJ Comput. Sci., 2020

2019

MLPXSS: An Integrated XSS-Based Attack Detection Scheme in Web Applications Using Multilayer Perceptron Technique.

Fawaz Mahiuob Mohammed Mokbal, Dan Wang, Azhar Imran, Jiuchuan Lin, Faheem Akhtar, Xiaoxi Wang

IEEE Access, 2019