QUANTUM-ENHANCED BLOCKCHAIN SECURITY: INTEGRATING QUANTUM COMPUTING WITH NETWORK ATTACK DETECTION
КВАНТТЫҚ-КҮШЕЙТІЛГЕН БЛОКЧЕЙН ҚАУІПСІЗДІГІ: ЖЕЛІЛІК ШАБУЫЛДАРДЫ АНЫҚТАУМЕН КВАНТТЫҚ ЕСЕПТЕУЛЕРДІ БІРІКТІРУ
КВАНТОВО-УСИЛЕННАЯ БЕЗОПАСНОСТЬ БЛОКЧЕЙНА: ИНТЕГРАЦИЯ КВАНТОВЫХ ВЫЧИСЛЕНИЙ С ОБНАРУЖЕНИЕМ СЕТЕВЫХ АТАК
Sabeshuly I. Akzhalova A. Yahia S.B.
2025Kazakh-British Technical University
Herald of the Kazakh British Technical UNiversity
2025#22Issue 3123 - 133 pp.
This paper describes a security framework that uses both blockchain technology and quantum-enhanced anomaly detection. We propose use of blockchain to create an unchangeable record of security events and smart contracts to automatically respond to threats that have been confirmed. A variational quantum circuit (VQC) is the basis for our systems hybrid quantum-classical model. The VQC processes information by turning classical data into quantum states, using parameterized gates to model complicated dependencies, and then measuring the result to classify it. We use a One-vs-Rest (OvR) method to find network attacks like Botnet, Brute Force, and Port Scan. We tested how well it worked in both perfect (noiseless) and simulated noisy quantum environments.The model was 93% accurate without noise and only 92% accurate with noise, which shows that it is strong. We found a major trade-off: the OvR method works well, but it costs a lot of computing power. This indicates that subsequent efforts should concentrate on creating more efficient quantum multiclass classification frameworks.
hybrid quantum-classical architecture , multi-class classification , network anomalies , variational quantum circuit (vqc)
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Kazakh-British Technical University, Almaty, Kazakhstan
University of Southern Denmark, Sonderborg, Denmark
Kazakh-British Technical University
University of Southern Denmark
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026