Quantum-Inspired Hybrid Bald Eagle-Ukari Algorithm with Reinforcement Learning for cybersecurity optimization in smart aquaculture systems: A novel bio-inspired intrusion detection and prevention framework

Key Points

• The framework shows a significant enhancement in intrusion detection performance, especially under dynamic conditions.
• Key metric includes a 30% improvement in detection accuracy compared to previous systems, indicating robust performance.
• Analysis incorporates reinforcement learning techniques for real-time optimization of cybersecurity measures in aquaculture.
• This algorithm may enable advanced threat detection in bio-inspired systems, highlighting a need for further real-world validation.