The article analyzes modern threats to the information security of military personnel in the area of a special military operation, including methods of social engineering and open-source cyber espionage. Based on the systematization of real incidents, regulatory analysis and international experience, comprehensive measures are proposed to protect personal data and counter cyber threats, from technical solutions and digital hygiene protocols to organizational and legal mechanisms. The results of the study are aimed at increasing the awareness of personnel, reducing the influence of the human factor as the main vulnerability and forming a stable information security system in the field. The developed recommendations can be used in the training of military personnel, the improvement of charters and the introduction of cybersecurity standards in the Armed Forces of the Russian Federation.

Keywords: information security, military personnel, special military operation, personal data, cyber threats, digital hygiene, social engineering, cyber intelligence, communications security, military cybersecurity

The paper considers the features of customs operations and customs clearance, both in the pre-sanction period and during the period of sanctions, on the part of foreign states, when importing goods into the Russian Federation.

Keywords: customs administration, Eurasian Economic Union, foreign economic activity, import of goods, export of goods, sanction, customs procedure, customs control, customs authority, customs operation, customs declaration

The article discusses the problems that arise in pattern recognition related to clustering and data abstraction. Detailed typical data clustering options. The problem of data transformation by vector quantization with the least error is given. A competitive training system for an artificial neural network based on a growing neural gas is described. Using the method of growing neural gas, an improved algorithm of a self-learning artificial neural network of competitive training is proposed. The criteria for completing clustering using the adaptation criterion as a stop criterion are defined. Examples of data clustering by an artificial neural network using the method of growing neural gas are given.

Keywords: clustering, artificial neural network, computer modeling, pattern recognition, self-learning intelligent systems