Analysis of a Huge Amount of Network Traffic Based on Quantum Machine Learning
Maxim Kalinin, Vasiliy Krundyshev · Automatic Control and Computer Sciences · 2021
Abstract A method for analyzing network traffic based on quantum machine learning is presented. A method for network traffic encoding into quantum computer terms is developed. The experimental results show the superiority of the proposed approach over traditional machine learning methods for detecting network attacks.