7 citations · 23 across the 12 of their papers we have counts for
8 papers · 1 filter
Names Are Not Objects: Object-Bound Confinement for Compromised AI Coding Agents
Daniel Commey
Coding agents read repositories and web pages that anyone can write, and then act with their user's authority. Prompt-injection defenses make it less likely that the model is steer…
Post-Quantum Session Establishment for Matter over Thread: Message Size, Transport, and Protocol Options
Daniel Commey
Matter's first post-quantum change protects device attestation with ML-DSA, but its operational handshake, CASE, still derives session keys from P-256 ECDH, so recorded traffic can…
Performance Analysis and Deployment Considerations of Post-Quantum Cryptography for Consumer Electronics
Daniel Commey, Benjamin Appiah, Griffith S. Klogo +4
Quantum computing threatens the security foundations of consumer electronics (CE). Preparing the diverse CE ecosystem, particularly resource-constrained devices, for the post-quant…
PQS-BFL: A Post-Quantum Secure Blockchain-based Federated Learning Framework
Daniel Commey, Garth V. Crosby
Federated Learning (FL) enables collaborative model training while preserving data privacy, but its classical cryptographic underpinnings are vulnerable to quantum attacks. This vu…
Strategic Deployment of Honeypots in Blockchain-based IoT Systems
Daniel Commey, Sena Hounsinou, Garth V. Crosby
This paper addresses the challenge of enhancing cybersecurity in Blockchain-based Internet of Things (BIoTs) systems, which are increasingly vulnerable to sophisticated cyberattack…
Securing Blockchain-based IoT Systems with Physical Unclonable Functions and Zero-Knowledge Proofs
Daniel Commey, Sena Hounsinou, Garth V. Crosby
This paper presents a framework for securing blockchain-based IoT systems by integrating Physical Unclonable Functions (PUFs) and Zero-Knowledge Proofs (ZKPs) within a Hyperledger…
EGAN: Evolutional GAN for Ransomware Evasion
Daniel Commey, Benjamin Appiah, Bill K. Frimpong +3
Adversarial Training is a proven defense strategy against adversarial malware. However, generating adversarial malware samples for this type of training presents a challenge becaus…
Securing Health Data on the Blockchain: A Differential Privacy and Federated Learning Framework
Daniel Commey, Sena Hounsinou, Garth V. Crosby
This study proposes a framework to enhance privacy in Blockchain-based Internet of Things (BIoT) systems used in the healthcare sector. The framework addresses the challenge of lev…