Verifiable distributed learning
Zero-knowledge proofs that verify whether a local evaluation metric meets a threshold without revealing the metric.
Daniel Commey
Assistant Professor of Cybersecurity
Department of Computer Engineering & Computer Science
California State University, Long Beach
I develop methods for trustworthy distributed learning, focusing on verifiable evaluation, post-quantum authentication, and resilience to malicious participants. My work spans federated learning, IoT, and edge systems.
Prospective students: CSULB undergraduate and MS students interested in this work may email me at daniel.commey@csulb.edu. Please include a brief introduction, relevant coursework or project experience, and a research topic you would like to explore.
Research
Post-quantum security
Cryptographic foundations that prepare federated, decentralized, and edge systems for quantum threats.
Adversarial resilience
Defenses and incentives for systems in which participants may poison, manipulate, or game the protocol.
Selected Publications
PUFZIN: Secure and Scalable Blockchain-IoT with PUFs and Zero-Knowledge Proofs
Journal of Information Security and Applications, vol. 100, article 104510, 2026
Combines physical-unclonable-function device fingerprints with zero-knowledge proofs for scalable, privacy-preserving authentication in blockchain-IoT.
PQS-BFL: A Post-Quantum Secure Blockchain-based Federated Learning Framework
Expert Systems with Applications, 2026
Uses post-quantum authentication and blockchain verification to protect model updates in federated learning.
ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs
arXiv:2507.11649 [cs.LG], 2025
Verifies that a client’s local loss is below a threshold without revealing the loss value, using zero-knowledge proofs in federated evaluation.
Blockchain-Enabled Dynamic Honeypot Conversion for Resource-Efficient IoT Security
Journal of Information Security and Applications, 2025
Combines ML threat scoring and game-theoretic incentives to turn idle IoT devices into honeypots as threats change.
News
- August 2026I joined California State University, Long Beach as an Assistant Professor of Cybersecurity.
- July 2026Two new papers were published in IEEE Networking Letters and the Journal of Money Laundering Control. They address post-quantum security for maritime RTK navigation and comparative virtual-asset regulation.
- June 2026I passed the CompTIA Cybersecurity Analyst (CySA+) certification.