Enhancing Intrusion Detection through Grover’s Quantum Search Algorithm: A Simulation-Based Evaluation with Classical and Quantum Models
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.
Keywords
References
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Details
Primary Language
English
Subjects
Information Security Management, Quantum Computation, System and Network Security, Data Security and Protection
Journal Section
Research Article
Authors
Publication Date
December 30, 2025
Submission Date
April 14, 2025
Acceptance Date
July 25, 2025
Published in Issue
Year 2025 Volume: 17 Number: 2
APA
Saldı, M. H. (2025). Enhancing Intrusion Detection through Grover’s Quantum Search Algorithm: A Simulation-Based Evaluation with Classical and Quantum Models. Turkish Journal of Mathematics and Computer Science, 17(2), 418-433. https://doi.org/10.47000/tjmcs.1676116
AMA
1.Saldı MH. Enhancing Intrusion Detection through Grover’s Quantum Search Algorithm: A Simulation-Based Evaluation with Classical and Quantum Models. TJMCS. 2025;17(2):418-433. doi:10.47000/tjmcs.1676116
Chicago
Saldı, Mustafa Hakan. 2025. “Enhancing Intrusion Detection through Grover’s Quantum Search Algorithm: A Simulation-Based Evaluation With Classical and Quantum Models”. Turkish Journal of Mathematics and Computer Science 17 (2): 418-33. https://doi.org/10.47000/tjmcs.1676116.
EndNote
Saldı MH (December 1, 2025) Enhancing Intrusion Detection through Grover’s Quantum Search Algorithm: A Simulation-Based Evaluation with Classical and Quantum Models. Turkish Journal of Mathematics and Computer Science 17 2 418–433.
IEEE
[1]M. H. Saldı, “Enhancing Intrusion Detection through Grover’s Quantum Search Algorithm: A Simulation-Based Evaluation with Classical and Quantum Models”, TJMCS, vol. 17, no. 2, pp. 418–433, Dec. 2025, doi: 10.47000/tjmcs.1676116.
ISNAD
Saldı, Mustafa Hakan. “Enhancing Intrusion Detection through Grover’s Quantum Search Algorithm: A Simulation-Based Evaluation With Classical and Quantum Models”. Turkish Journal of Mathematics and Computer Science 17/2 (December 1, 2025): 418-433. https://doi.org/10.47000/tjmcs.1676116.
JAMA
1.Saldı MH. Enhancing Intrusion Detection through Grover’s Quantum Search Algorithm: A Simulation-Based Evaluation with Classical and Quantum Models. TJMCS. 2025;17:418–433.
MLA
Saldı, Mustafa Hakan. “Enhancing Intrusion Detection through Grover’s Quantum Search Algorithm: A Simulation-Based Evaluation With Classical and Quantum Models”. Turkish Journal of Mathematics and Computer Science, vol. 17, no. 2, Dec. 2025, pp. 418-33, doi:10.47000/tjmcs.1676116.
Vancouver
1.Mustafa Hakan Saldı. Enhancing Intrusion Detection through Grover’s Quantum Search Algorithm: A Simulation-Based Evaluation with Classical and Quantum Models. TJMCS. 2025 Dec. 1;17(2):418-33. doi:10.47000/tjmcs.1676116