ANALYSIS OF ULTRA-HIGH VOLUMES OF NETWORK TRAFFIC BASED ON QUANTUM MACHINE LEARNING
M. O. Kalinin, V. M. Krundyshev
Annotation: This paper presents a method for analyzing network traffic based on the use of quantum machine learning. A method for encoding network traffic in terms of a quantum computer has been developed. The results of experimental studies have shown the superiority of the proposed approach over traditional machine learning methods in detecting network attacks.
Keywords: Network Traffic Analysis, Quantum Computer, Quantum Machine Learning, Qubit, Network Attacks, Intrusion Detection System.