Regulating Cryptocurrencies: New Challenges to Economic Security and Problems Created by Individuals Involved in the Schemes of Laundering Cryptocurrencies-Generated Profits

This article explores the mechanisms of the organization and operation of virtual payment systems. The appearance of such payment systems is associated with the development of Internet technologies in the field of mutual settlements for goods (works and services). The study aims at analyzing the classification, types of emission of cryptocurrencies, the mechanism of functioning of cryptocurrency systems; evaluating their impact on the monetary system and the involvement of individuals in the laundering of illegal incomes using cryptocurrencies; estimating prospects for the development of virtual payment systems in Russia and abroad, and defining mechanisms to counteract illegal activities. As a result, the current status of virtual cryptocurrency systems is estimated, their distinctive features and advantages are considered. The study also identifies drawbacks in the use of cryptocurrency with the involvement of individuals in the system of non-cash settlements. The results of the analysis of cryptocurrency systems can be useful for the improvement of the state monetary policy. Keywords: electronic money, bitcoin, cryptocurrency, blockchain, money laundering

Practical Training of Students on the Extraction and Analysis of Big Data

The article deals with questions of studies, development and practical use in teaching complex laboratory work on extracting and analyzing big data to train specialists in the specialty 10.05.04 "Information and Analytical Security Systems", direction of training "Information sSecurity of Financial and Economic Structures" in the framework of the educational discipline "Distributed Automated Information Systems". Keywords: big data, data scientist, extraction, processing and analysis of big data, information security of financial and economic structures, the Internet, Yandex, Google, application programming interface –API

EEG biomarkers of activation of the lymphatic drainage system of the brain during sleep and opening of the blood-brain barrier

The lymphatic drainage system of the brain (LDSB) is the removal of metabolites and wastes from its tissues. A dysfunction of LDSB is an important sign of aging, brain oncology, the Alzheimer's and Parkinson's diseases. The development of new strategies for diagnosis of LDSB injuries can improve prevention of age-related cerebral amyloid angiopathy, neurodegenerative and cerebrovascular diseases. There are two conditions, such as deep sleep and opening of the blood-brain-barrier (OBBB) associated with the LDSB activation. A promising candidate for measurement of LDSB could be electroencephalography (EEG). In this pilot study on rats, we tested the hypothesis, whether deep sleep and OBBB can be an informative platform for an effective extracting of information about the LDSB functions. Using the nonlinear analysis of EEG dynamics and machine learning technology, we discovered that the LDSB activation during OBBB and sleep is associated with similar changes in the EEG θ-activity. The OBBB causes the higher LDSB activation vs. sleep that is accompanied by specific changes in the low frequency EEG activity extracted by the power spectra analysis of the EEG dynamics combined with the coherence function. Thus, our findings demonstrate a link between neural activity associated with the LDSB activation during sleep and OBBB that is an important informative platform for extraction of the EEG-biomarkers of the LDSB activity. These results open new perspectives for the development of technology for the LDSB diagnostics that would open a novel era in the prognosis of brain diseases caused by the LDSB disorders, including OBBB