9004 Problems of information security. Computer systems Проблемы информационной безопасности. Компьютерные системы 2071-8217 10 10.48612/jisp/5xdh-23hk-dmhm Synthetic data generation for honeypot systems using deep learning methods Генерирование синтетических данных для honeypot-систем с использованием методов глубокого обучения 0000-0002-6370-123X Danilov Vladislav danilov.wrk@gmail.com 0000-0002-2009-5460 Ovasapyan Tigran otd@ibks.spbstu.ru 0000-0001-8206-2915 Ivanov Denis ivanov@ibks.spbstu.ru Konoplev Artem konoplev_as@spbstu.ru Peter the Great St. Petersburg Polytechnic University 31 03 2022 1 96 109

This article presents research aimed at analyzing methods for generating synthetic data to populate honeypot systems. To select the generated data types, the relevant target objects in the context of honeypot-systems are identified. Existing generation methods are investigated. Methods for evaluating the quality of generated data in the context of honeypot systems are also analyzed. As a result, a layout of an automated system for generating synthetic data for honeypot-systems is developed and its performance is evaluated.

 honeypot system deep learning methods synthetic data generation machine learning inference attacks