Enhancing Intrusion Detection through Grover’s Quantum Search Algorithm: A Simulation-Based Evaluation with Classical and Quantum Models

Quantum computing offers promising capabilities to improve Intrusion Detection Systems (IDS) against increasingly complex cyberattacks. The Grover’s search algorithm is simulated in a classical environment using Microsoft Excel to evaluate its effectiveness in detecting anomalous network activity. The quantum-inspired model applies amplitude amplification to identify malicious packets more efficiently than a standard rule-based detection approach. Feasibility is assessed through performance indicators that compare detection precision and search effort between both methods. Results show improvements in structured search performance, underscoring the potential for exponential gains when deployed on quantum hardware. These findings provide a practical foundation for future quantum-enhanced IDS architectures.