Современное информационное общество обладает возможностью не только выстраивать новые формы коммуникации и формировать пространство для социальных отношений с помощью новейших средств и технологий связи, но и потенцировать ряд социально-психологических эффектов, например агрессивное поведение, психологическое давление, формирование деструктивных групп. В статье изучены явления агрессии в социо-киберфизической среде и их влияние на индивидуальное и групповое сознание пользователей для разработки и создания единой социокиберфизической системы управления данными процессами. Ключевые слова: интернет-контент, информационное общество, социальные сети, социо-киберфизическая система, социо-киберфизическая среда, психологическое давление, агрессия, коммуникация.
Abstract-The increasing number of automated systems using the global network for management has led to the need to search for new technologies for transmitting data from various sensors over long distances with minimal energy consumption. Today, there are several similar technologies on the market that claim to be the world standard in the concept of the Internet of things, but none of them has yet been studied in detail from the point of view of security. This article is devoted to the analysis of one of the most common protocols in order to identify potential vulnerabilities.
Introduction: New approaches to efficient compression and digital processing of audio signals are relevant today. Thereis a lot of interest to new pattern recognition methods which can improve the quality of acoustic anomaly detection. Purpose:Comparative analysis of methods for time-frequency transformation of audio signal patterns, including non-stationary quasiperiodicbiomedical signals in the problem of acoustic anomaly detection. Results: The study compared different time-frequencytransforms (such as windowed Fourier, Gabor, Wigner, pseudo Wigner, smoothed pseudo Wigner, Choi — Williams, Bertrand, pseudoBertrand, smoothed pseudo Bertrand, and wavelet transforms) based on systematization of their functional characteristics(such as the existence and limitedness of basis functions, presence of zero moments and biorthogonal form, opportunity oftwo-dimensional representation and inverse transformation, real time processing, time-frequency transform quality, controlof time-frequency definition, time and frequency interference suppression, relative computational complexity, fast algorithmimplementation) for the problem of biomedial signal pattern recognition. A comparative table is presented with estimates ofinformation capacity for the considered time-frequency transforms. Practical relevance: The proposed approach can solve someacoustic anomaly detection algorithm implementation problems common in non-stationary quasi-periodic processes, in order tostudy disruptive effects causing a change in the functional state of ergatic system operators.
The Internet of Things is now an essential tool in many areas of human life. Researches related to the security of IoT-devices and IoT-networks are extremely relevant over the past ten years. The violation of the confidentiality, integrity of the transmitted data and the availability of smart objects and control devices can lead to major risks and various negative consequences. The article details the conduct of the research experiment on the introduction of a honeypot trap into a smart house IoT-network. The results allow to make a conclusion about the ways of attacks on smart objects, the protocols and services use, the influence of the devices placement in the network on their security level.
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