Fawaz Mahiuob Mohammed Mokbal

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 6

Top Topics

Feature Selection

Gradient Boosting

Sql Injection Attacks

Machine Learning

Top Venues

Ad Hoc Networks

J. Inf. Secur. Appl.

Int. Arab J. Inf. Technol.

Publications

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 (2024)
Fawaz Mahiuob Mohammed Mokbal, Dan Wang, Musa Osman, Ping Yang, Saeed H. Alsamhi
An efficient intrusion detection framework based on embedding feature selection and ensemble learning technique. Int. Arab J. Inf. Technol. 19 (2) (2022)
Musa Osman, Jingsha He, Fawaz Mahiuob Mohammed Mokbal, Nafei Zhu, Sirajuddin Qureshi
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 (2021)
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 (2021)
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 (2020)
Fawaz Mahiuob Mohammed Mokbal, Dan Wang, Azhar Imran, Jiuchuan Lin, Faheem Akhtar, Xiaoxi Wang
MLPXSS: An Integrated XSS-Based Attack Detection Scheme in Web Applications Using Multilayer Perceptron Technique. IEEE Access 7 (2019)