Quantum Honeypots: A Quantum-Enhanced Approach to Cyber Deception and Intrusion Detection
Abias Dotson, Mohammad Hadigheh Javani · 2025
Cyber threats are becoming increasingly sophisticated and require innovative defensive mechanisms. Traditional honeypots serve as decoys to attract and analyze attackers, but their static nature limits effectiveness. This work presents a novel approach: Quantum Honeypots, which leverage quantum superposition, entanglement, and tunneling principles to create dynamically shifting deceptive environments. By integrating quantum entropy sources and adversarial AI, these honeypots generate unpredictable attack surfaces that enhance deception, anomaly detection, and cyber threat analysis. A prototype implementation on a controlled testbed demonstrates feasibility and effectiveness of this approach.