Transmission, processing and storage of information in the infrastructure of the Internet of Things are related to the necessity for solving a number of problems in information security. The main difficulty lies in the fact that the infrastructure of the Internet of Things is not homogeneous and contains many different devices, including those with limited computing resources. One of the approaches to solving these problems is to embed additional information into the transmitted and stored digital objects. In this paper we present a review of methods of embedding information in digital data to provide security in the Internet of Things, including methods of steganographic embedding of information and methods for embedding digital watermarks. We reviewed methods of embedding information into digital images, as well as wireless sensor network data, proposed for use in the Internet of Things. In this paper we defined the advantages and disadvantages of individual methods and groups of methods, also we analyzed their applicability for data protection in the Internet of Things. Relevant trends in this field of research have been identified.

In this paper, we present our contribution to the ASVspoof 2019 challenge. The main task for this challenge is to find countermeasures that generalize well for different spoofing attacks against automatic speaker verification systems. Some of the approaches used by the authors during participation in the challenge are presented. Described anti-spoofing systems mostly rely on using constant Q cepstral coefficients (CQCC) features and bidirectional long-short term memory (BiLSTM) networks for genuine/spoof audio classification. Fusion of BiLSTM and GMM-UBM system is presented. This approach could give significant improvement to baseline systems results without any data augmentation, especially on physical access (PA) condition. Presented systems give 15.2% min-tDCF relative improvement for logical access (LA) condition and 61.5% min-tDCF relative improvement for PA condition, compared to the best baseline systems results.

The work considers a software package for automating speech quality assessment. The complex is used for speech rehabilitation of patients after surgical treatment of oncological diseases of the organs of the speech-forming tract. The structure of the complex and the role of its individual modules are presented. The complex has been introduced into the activities of the Oncology Research

The article discusses structural features of wireless data transmission technologies. Based on client-server architecture, a data transmission algorithm has been developed. This algorithm includes the possibility to retransmit with automatic search for the optimal path. A system of heterogeneous data transmission is proposed, which ensures high efficiency of remote data collection and transmission under the conditions of intensive interference. The data transmission system provides automatic selection of the optimal data transmission path.

Томский политехнический университетЗвуковой образ мира в комедии А.П. Чехова «Вишневый сад» Аннотация: В статье рассматривается звуковое (включающее в себя музыкальное) содержание комедии А.П. Чехова «Вишневый сад». Звуко-музыкальная составляющая пронизывает всю поэтику произведения и исследуется в аспекте его онтологической проблематики: как репрезентирующая модели мира, связанные с определенными этапами развития культуры, и участвующая в создании собственного мирообраза пьесы. Звуко-музыкальная сторона пьесы составляет ее культурологическое и онтологическое содержание.In the article the sound (inclusive musical) content of the A.P. Chekhov's comedy «Cherry orchard» is considered. The sound and musical constituent runs through the whole poetics of the comedy and is researched in the aspect of its ontological problems range: as representing some world models connected with the certain stages of culture development and participating in the creation of the own world image of the play. The sound and musical side of the comedy forms its culturological and ontological content.