Benjamin Appiah

According to our database, Benjamin Appiah authored at least 9 papers between 2020 and 2026.

Collaborative distances:

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

2026

EdgeFence: Federated Temporal Graph Neural Networks for Lightweight, Adversarial Malware Detection in Distributed Edge Networks.

Isaac Osei, Benjamin Appiah, Daniel Commey, Kwabena Owusu-Agyemang, Michael Asante, Benjamin Hayfrom Acquah

Int. J. Inf. Sec., June, 2026

2025

ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs.

Daniel Commey, Benjamin Appiah, Griffith Selorm Klogo, Garth V. Crosby

CoRR, July, 2025

Secure IoT firmware updates against supply chain attacks.

Benjamin Appiah, Daniel Commey, Isaac Osei, Bill K. Frimpong, Gabriel Assamah, Ebenezer N. A. Hammond

J. Supercomput., May, 2025

The algebraic structure of hyperbolic graph braid groups.

Benjamin Appiah, Pallavi Dani, Wayne Ge, Christopher Hudson, Saumya Jain, Matthew Lemoine, Jake Murphy, Justin Murray, Adithyan Pandikkadan, Kevin Schreve, Huong Vo

Int. J. Algebra Comput., May, 2025

Performance Analysis and Deployment Considerations of Post-Quantum Cryptography for Consumer Electronics.

Daniel Commey, Benjamin Appiah, Griffith Selorm Klogo, Winful Bagyl-Bac, James D. Gadze

CoRR, May, 2025

Predicting Academic Procrastination Among University Students Using Autoencoder Model.

Anthony Kingsley Sackey, Benjamin Appiah, Adolph Sedem Yaw Adu, Emmanuel Kwesi Baah, Eric Nana Agyekum Boamah

Proceedings of the 27th International Conference on Advanced Communications Technology, 2025

2023

EGAN: Evolutional GAN for Ransomware Evasion.

Daniel Commey, Benjamin Appiah, Bill K. Frimpong, Isaac Osei, Ebenezer N. A. Hammond, Garth V. Crosby

Proceedings of the 48th IEEE Conference on Local Computer Networks, 2023

2021

Decision tree pairwise metric learning against adversarial attacks.

Benjamin Appiah, Zhiguang Qin, Mighty Abra Ayidzoe, Ansuura JohnBosco Aristotle Kanpogninge

Comput. Secur., 2021

2020

Multi-Class Triplet Loss With Gaussian Noise for Adversarial Robustness.

Benjamin Appiah, Edward Yellakuor Baagyere, Kwabena Owusu-Agyemang, Zhiguang Qin, Muhammed Amin Abdullah

IEEE Access, 2020