Daniel Commey

According to our database, Daniel Commey authored at least 20 papers between 2023 and 2026.

Collaborative distances:

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

2026

When "Better" Prompts Hurt: Evaluation-Driven Iteration for LLM Applications.

Daniel Commey

CoRR, January, 2026

FedGraph-VASP: Privacy-Preserving Federated Graph Learning with Post-Quantum Security for Cross-Institutional Anti-Money Laundering.

Daniel Commey, Matilda Nkoom, Yousef Alsenani, Sena G. Hounsinou, Garth V. Crosby

CoRR, January, 2026

Quantifying the Impact of TLE Ageing on LEO IoT Link Reliability.

Daniel Commey, Kamel Abbad, Matilda Nkoom, Griffith Selorm Klogo, Lyes Khoukhi, Garth V. Crosby

IEEE Netw. Lett., 2026

PQS-BFL: A post-quantum secure blockchain-based federated learning framework.

Daniel Commey, Garth V. Crosby

Expert Syst. Appl., 2026

A Unified Lightweight Benchmark for Privacy-Preserving Federated Learning in Cyber-Physical Systems (Fashion-MNIST Case Study).

Brice Ockman, Daniel Commey, Garth V. Crosby

Proceedings of the 23rd Consumer Communications & Networking Conference, 2026

Federated DDoS Detection with Clustered Quantization-Aware Training Models for IoRT.

Matilda Nkoom, Daniel Commey, Yousef Alsenani, Sena G. Hounsinou, Garth V. Crosby

Proceedings of the 23rd Consumer Communications & Networking Conference, 2026

Resource-Aware Clustered Federated Learning for Industrial Digital Twins: A Reproducible Benchmark on Fashion-MNIST.

Uzma Hamid, David Sung, Daniel Commey, Garth V. Crosby

Proceedings of the 23rd Consumer Communications & Networking Conference, 2026

FedSkipTwin: Digital-Twin-Guided Client Skipping for Communication-Efficient Federated Learning.

Daniel Commey, Kamel Abbad, Lyes Khoukhi, Garth V. Crosby

Proceedings of the 23rd Consumer Communications & Networking Conference, 2026

2025

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning.

Daniel Commey, Rebecca A. Sarpong, Griffith Selorm Klogo, Winful Bagyl-Bac, Garth V. Crosby

CoRR, July, 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

Post-Quantum Secure Blockchain-Based Federated Learning Framework for Healthcare Analytics.

Daniel Commey, Sena G. Hounsinou, Garth V. Crosby

IEEE Netw. Lett., June, 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

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

Blockchain-enabled dynamic honeypot conversion for resource-efficient IoT security.

Daniel Commey, Matilda Nkoom, Sena G. Hounsinou, Garth V. Crosby

J. Inf. Secur. Appl., 2025

Robotic Algorithm Service Contracts to Manage and Incentivize Adaptive Behavior.

Sanjaya Mallikarachchi, Phanindrateja Thammi, Daniel Commey, Sandun S. Vitharana, Meghana Chintalapati, Isuru S. Godage

Proceedings of the 7th International Conference on Blockchain Computing and Applications, 2025

2024

Securing Blockchain-based IoT Systems with Physical Unclonable Functions and Zero-Knowledge Proofs.

Daniel Commey, Sena Hounsinou, Garth V. Crosby

CoRR, 2024

Securing Health Data on the Blockchain: A Differential Privacy and Federated Learning Framework.

Daniel Commey, Sena Hounsinou, Garth V. Crosby

CoRR, 2024

Securing Blockchain-Based IoT Systems: A Review.

Daniel Commey, Bin Mai, Sena Hounsinou, Garth V. Crosby

IEEE Access, 2024

Strategic Deployment of Honeypots in Blockchain-based IoT Systems.

Daniel Commey, Sena Hounsinou, Garth V. Crosby

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

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