Ernest Akpaku

According to our database, Ernest Akpaku authored at least 16 papers between 2021 and 2026.

Collaborative distances:

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

2026

MAGNN: Multi-scale adaptive graph neural networks with contrastive learning for malicious network traffic detection.

Mukhtar Ahmed, Jinfu Chen, Ernest Akpaku, Ali Bux

J. Parallel Distributed Comput., 2026

A novel android malware detection method based on CWInFs and MPTACF optimization.

Shengran Wang, Jinfu Chen, Saihua Cai, Jingyi Chen, Ernest Akpaku, Xingquan Mao

J. Inf. Secur. Appl., 2026

An efficient framework for malicious network traffic detection using optimized deep learning techniques.

Mukhtar Ahmed, Jinfu Chen, Ernest Akpaku, Ajmal Latif

Eng. Appl. Artif. Intell., 2026

TIPSO-GAN: Malicious Network Traffic Detection Using a Novel Optimized Generative Adversarial Network.

Ernest Akpaku, Jinfu Chen, Joshua Ofoeda

Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

2025

MGAN: A Multi-view Graph Adaptive Network for Robust Malicious Traffic Detection.

Ernest Akpaku, Jinfu Chen, Mukhtar Ahmed, Francis Kwadzo Agbenyegah, Joshua Ofoeda

ACM Trans. Priv. Secur., November, 2025

Predicting Vulnerabilities in Computer Source Code Using Non-Investigated Software Metrics.

Francis Kwadzo Agbenyegah, Jin-Fu Chen, Micheal Asante, Ernest Akpaku

Softw. Qual. J., March, 2025

eBiTCN: Efficient bidirectional temporal convolution network for encrypted malicious network traffic detection.

Ernest Akpaku, Jinfu Chen, Mukhtar Ahmed, Rexford Nii Ayitey Sosu, Francis Kwadzo Agbenyegah, Dominic Kofi Louis

J. Comput. Secur., 2025

Machine and Deep Learning in Agricultural Engineering: A Comprehensive Survey and Meta-Analysis of Techniques, Applications, and Challenges.

Samuel Akwasi Frimpong, Mu Han, Wenyi Zheng, Xiaowei Li, Ernest Akpaku, Ama Pokuah Obeng

Comput., 2025

RAGN: Detecting unknown malicious network traffic using a robust adaptive graph neural network.

Ernest Akpaku, Jinfu Chen, Mukhtar Ahmed, Francis Kwadzo Agbenyegah, William Leslie Brown-Acquaye

Comput. Networks, 2025

MTCR-AE: A Multiscale Temporal Convolutional Recurrent Autoencoder for unsupervised malicious network traffic detection.

Mukhtar Ahmed, Jinfu Chen, Ernest Akpaku, Rexford Nii Ayitey Sosu

Comput. Networks, 2025

BiRNN-SA: Context-aware malicious network traffic detection using self-attentive bidirectional RNNs.

Mukhtar Ahmed, Jinfu Chen, Ernest Akpaku, Ajmal Latif

Comput. Networks, 2025

Detecting encrypted malicious traffic with HEAT: a header-focused deep learning approach.

Ernest Akpaku, Jinfu Chen, Mukhtar Ahmed, William Leslie Brown-Acquaye, Francis Kwadzo Agbenyegah, Rexford Nii Ayitey Sosu

Comput. J., 2025

2024

Predicting software vulnerability based on software metrics: a deep learning approach.

Francis Kwadzo Agbenyegah, Micheal Asante, Jinfu Chen, Ernest Akpaku

Iran J. Comput. Sci., December, 2024

DELM: Deep Ensemble Learning Model for Anomaly Detection in Malicious Network Traffic-based Adaptive Feature Aggregation and Network Optimization.

Mukhtar Ahmed, Jinfu Chen, Ernest Akpaku, Rexford Nii Ayitey Sosu, Ajmal Latif

ACM Trans. Priv. Secur., November, 2024

QAQA-SS: An Improved Fuzzing Approach with Seed Scheduling Based on the UCB Algorithm for QA Systems.

Jinfu Chen, Yucheng Wu, Haibo Chen, Jingyi Chen, Ernest Akpaku

Proceedings of the 24th IEEE International Conference on Software Quality, 2024

2021

The Antecedents to the Actual Use of Digital Currencies in Ghana.

Ernest Akpaku

Int. J. ICT Res. Afr. Middle East, 2021