An Efficient Approach Based on Parameter Optimization for Network Traffic Classification Using Machine Learning. - James Msughter Adeke; Jinfu Chen 001; Lei Zhang; Richard N. K. Mensah; Kun Tong (DSA, 2020)

Securing Network Traffic Classification Models against Adversarial Examples Using Derived Variables. - James Msughter Adeke; Guangjie Liu; Junjie Zhao; Nannan Wu; Hafsat Muhammad Bashir (Future Internet, 2023)

Detecting High-Resolution Adversarial Images with Few-Shot Deep Learning. - Junjie Zhao; Junfeng Wu; James Msughter Adeke; Sen Qiao; Jinwei Wang (Remote. Sens., 2023)

Investigating the impact of feature selection on adversarial transferability in intrusion detection system. - James Msughter Adeke; Guangjie Liu; Lord Amoah; Ogonna Joshua Nwali (Comput. Secur., 2025)

Minimizing distortion and enhancing security in Rayleigh fading channels. - Hafsat Muhammad Bashir; Yunquan Dong; James Msughter Adeke (Phys. Commun., 2025)