About Me
I am a Ph.D. candidate in Interdisciplinary Engineering at Texas A&M University, advised by Dr. Garth V. Crosby. I build security systems for blockchain-enabled IoT and federated learning.
My work combines applied cryptography (zero-knowledge proofs and post-quantum cryptography), blockchain verification, and ML-driven cyber defense. I develop system-level frameworks for device authentication, adaptive intrusion detection, and privacy-preserving federated learning.
Research Interests
- Areas: Blockchain-IoT security, federated learning, cyber-physical systems.
- Methods: Zero-knowledge proofs, post-quantum cryptography, ML for cyber defense, game-theoretic models.
News
- [Feb 2026] PQS-BFL journal article published in Expert Systems with Applications Post-quantum secure blockchain-based federated learning framework (DOI: 10.1016/j.eswa.2026.131449).
- [Jan 2026] FedGraph-VASP preprint posted on arXiv Privacy-preserving federated graph learning with post-quantum security for cross-institution AML.
- [Dec 2025] Successfully defended my Ph.D. dissertation titled 'A Layered Security Framework for Blockchain-Based IoT Systems'.
- [Nov 2025] 4 papers accepted at IEEE CCNC 2026 I will be presenting 3 of them in Las Vegas, NV.
- [Aug 2025] Started teaching ESET 315 — Local and Metropolitan Area Networks as a Graduate Assistant Lecturer at Texas A&M University.
Selected Publications
PQS-BFL: A Post-Quantum Secure Blockchain-based Federated Learning Framework
Daniel Commey, G. V. Crosby
Expert Systems with Applications, 2026
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
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
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
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
Research Explainers
- PUFZIN Explained - Device authentication with PUFs + Zero-Knowledge Proofs
- BHICS Explained - Dynamic honeypots that adapt to attackers using ML + game theory
- PQS-BFL Explained - Post-quantum secure federated learning for healthcare
Services & CV
I contribute to the research community through journal reviewing and judging.
- Journal Reviewer: IEEE IoT Journal, IEEE Network, IEEE Trans. Mobile Computing, Elsevier Computer Networks, and more.
- Judge: Texas Science & Engineering Fair; Regional High School Science Bowl.