Quarterly journal published in SPbPU
and edited by prof. Peter Zegzhda
Peter the Great St. Petersburg Polytechnic University
Institute of computer sciences and technologies
information security of computer systems
Information Security Problems. Computer Systems
Published since 1999.
ISSN 2071-8217
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.
Pages 39-49