AI Summary & Key Takeaways
AI InsightResults show improvements in structured search performance, underscoring the potential for exponential gains when deployed on quantum hardware.
📌 3 Key Takeaways
Abstract
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.