Publications [Google Scholar]
Journal Publications
PQS-BFL: A Post-Quantum Secure Blockchain-based Federated Learning Framework
Daniel Commey, G. V. Crosby
Expert Systems with Applications, 2026
Game-Theoretic Analysis of MEV Attacks and Mitigation Strategies in Decentralized Finance
B. Appiah, Daniel Commey, W. Bagyl-Bac, L. Adjei, E. Owusu
Analytics, 2025
Blockchain-Enabled Dynamic Honeypot Conversion for Resource-Efficient IoT Security
Daniel Commey, M. Nkoom, S. G. Hounsinou, G. V. Crosby
Journal of Information Security and Applications, 2025
Post-Quantum Secure Blockchain-Based Federated Learning Framework for Healthcare Analytics
Daniel Commey, S. G. Hounsinou, G. V. Crosby
IEEE Networking Letters, 2025
Quantifying the Impact of TLE Ageing on LEO IoT Link Reliability
Daniel Commey, K. Abbad, M. Nkoom, G. S. Klogo, L. Khoukhi, G. V. Crosby
IEEE Networking Letters, 2025
Secure IoT Firmware Updates Against Supply Chain Attacks
B. Appiah, Daniel Commey, I. Osei, B. K. Frimpong, G. Assamah, E. N. A. Hammond
The Journal of Supercomputing, 2025
Enhanced federated learning for secure medical data collaboration
B. Appiah, I. Osei, B. K. Frimpong, Daniel Commey, K. Owusu-Agymang, G. Assamah
Journal of Analytical Science and Technology, 2025
Securing Blockchain-Based IoT Systems: A Review
Daniel Commey, B. Mai, S. G. Hounsinou, G. V. Crosby
IEEE Access, vol. 12, pp. 98856--98881, 2024
Performance Comparison of 3DES, AES, Blowfish and RSA for Dataset Classification and Encryption in Cloud Data Storage
Daniel Commey, Selorm Griffith, James Dzisi
International Journal of Computer Applications, 177(40), 17--22, 2020
Conference Publications
Federated DDoS Detection with Clustered Quantization-Aware Training Models for IoRT
M. Nkoom, Daniel Commey, Y. Alsenani, S. G. Hounsinou, G. V. Crosby
2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA
FedSkipTwin: Digital-Twin-Guided Client Skipping for Communication-Efficient Federated Learning
Daniel Commey, K. Abbad, L. Khoukhi, G. V. Crosby
2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA
A Unified Lightweight Benchmark for Privacy-Preserving Federated Learning in Cyber-Physical Systems (Fashion-MNIST Case Study)
B. Ockman, Daniel Commey, G. V. Crosby
2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA
Resource-Aware Clustered Federated Learning for Industrial Digital Twins: A Reproducible Benchmark on Fashion-MNIST
U. Hamid, D. Sung, Daniel Commey, G. V. Crosby
2026 IEEE 23rd Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA
Robotic Algorithm Service Contracts to Manage and Incentivize Adaptive Behavior
S. Mallikarachchi, P. Thammi, Daniel Commey, S. S. Vitharana, M. Chintalapati, I. S. Godage
2025 7th International Conference on Blockchain Computing and Applications (BCCA), Dubrovnik, Croatia
Securing Blockchain-based IoT Systems with Physical Unclonable Functions and Zero-Knowledge Proofs
Daniel Commey, S. G. Hounsinou, G. V. Crosby
2024 IEEE 49th Conference on Local Computer Networks (LCN), Normandy, France
Securing the Internet of Robotic Things: A Federated Learning Approach
M. Nkoom, Daniel Commey, S. G. Hounsinou, G. V. Crosby
2024 IEEE 49th Conference on Local Computer Networks (LCN), Normandy, France
Strategic Deployment of Honeypots in Blockchain-based IoT Systems
Daniel Commey, S. G. Hounsinou, G. V. Crosby
2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS), Abu Dhabi, UAE
EGAN: Evolutional GAN for Ransomware Evasion
Daniel Commey, B. Appiah, B. K. Frimpong, I. Osei, E. N. A. Hammond, G. V. Crosby
2023 IEEE 48th Conference on Local Computer Networks (LCN), Daytona Beach, FL, USA
FedSkipTwin: Digital-Twin-Guided Client Skipping for Communication-Efficient Federated Learning
Daniel Commey, K. Abbad, G. V. Crosby, L. Khoukhi
arXiv:2507.13624 [cs.LG], 2025; also accepted at 2026 IEEE CCNC
Preprints and Under Review
FedGraph-VASP: Privacy-Preserving Federated Graph Learning with Post-Quantum Security for Cross-Institutional Anti-Money Laundering
Daniel Commey, M. Nkoom, Y. Alsenani, S. G. Hounsinou, G. V. Crosby
arXiv:2601.17935 [cs.LG], 2026
FedSkipTwin: Digital-Twin-Guided Client Skipping for Communication-Efficient Federated Learning
Daniel Commey, K. Abbad, G. V. Crosby, L. Khoukhi
arXiv:2507.13624 [cs.LG], 2025; also accepted at 2026 IEEE CCNC
ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs
Daniel Commey, B. Appiah, G. S. Klogo, G. V. Crosby
arXiv:2507.11649 [cs.LG], 2025
A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning
Daniel Commey, R. A. Sarpong, G. S. Klogo, W. Bagyl-Bac, G. V. Crosby
arXiv:2507.12439 [cs.LG], 2025
Performance Analysis and Deployment Considerations of Post-Quantum Cryptography for Consumer Electronics
Daniel Commey, B. Appiah, G. S. Klogo, W. Bagyl-Bac, J. D. Gadze
arXiv:2505.02239 [cs.CR], 2025
Pufzin: Secure and Scalable Blockchain-IoT with PUFs and Zero-Knowledge Proofs
Daniel Commey, S. G. Hounsinou, G. V. Crosby
SSRN Preprint
Securing Health Data on the Blockchain: A Differential Privacy and Federated Learning Framework
Daniel Commey, S. G. Hounsinou, G. V. Crosby
arXiv:2405.11580 [cs.CR], 2024