Quarterly journal published in SPbPU
and edited by prof. Dmitry 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
STUDY OF MACHINE LEARNING METHODS TO ENSURE INFORMATION SECURITY IN RETAIL TRADING OPERATIONS

S.V. Bezzateev, T.N. Yelina, N.S. Krasnikov
Saint-Petersburg State University of Aerospace Instrumentation (SUAI)

Annotation: The problem of distortion and substitution of information when performing transactions in retail trade using self-service checkouts leads to a decrease in the profits of enterprises. The introduction of weight recognition tools using machine-learning methods will increase the level of protection for retail transactions. The paper analyzes various training methods and builds a network model that allows, with a small amount of labeled data, to obtain good recognition results in the field of retail.
Keywords: convolutional neural networks, machine learning, retail information security