Перегляд за Автор "Yeskov, Sergey"
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- ДокументCryptocurrency Market Analysis: Realities and Prospects(2021) Zaiets, Oleksandr; Заєць, Олександр Михайлович; Yeskov, SergeyThis article presents the analyze of the cryptocurrency market, the practice of state regulation of the cryptocurrency. The study of the cryptocurrency market and the experience of its regulation revealed certain similarities. Cryptogrivna, which can be put into circulation, means the formation of new institutional conditions for the development and functioning of the national financial market. At the same time, it is important to understand that cryptocurrency cannot completely replace traditional means of payment and payment methods, either in the medium or in the short term. In this regard, in order to ensure national economic security, the unification of the current tax and financial legislation with acts of international law, in terms of economic and organizational approaches to the circulation and emission of world and national cryptocurrencies, is of particular relevance. This will make it possible to create a number of new financial instruments that can be used to stimulate the growth of the national economy, which today is gradually emerging from the crisis zone, showing a trend towards further growth.
- ДокументMachine Learning Models: Learning Algorithms in Crime Investigation(2021) Заєць, Олександр Михайлович; Zaiets, Oleksandr; Kononenko, Yuri; Yeskov, SergeyThis article introduces machine learning, which is all around you, although you may not even know it. Thanks to machine learning, the search engine understands what results (and advertising) to display in response to your query. When you scan your mail, most of the spam passes you by because it has been filtered out by machine learning. If you decide to buy something on Rozetka.com.ua or watch YouTube to watch a movie, the machine learning system will helpfully offer options that you may like. With machine learning, Facebook decides what news to show you, and Twitter selects the appropriate tweets. Every time you use a computer, machine learning is involved. The only way to get the computer to do something is to write an algorithm that carefully explains to the machine what is required of it. However, machine learning algorithms guess everything themselves, drawing conclusions from the data, and the more data, the better they become. Computers don't need to be programmed; they program themselves. Artificial intelligence techniques have proven to be a promising tool in crime investigation. With the help of these methods, effective diagnostic and predictive tools can be developed to detect various crimes. In the future, artificial intelligence programs may become an integral part of the investigation of crimes. The police must be proactive in understanding theories of artificial intelligence and its usefulness in investigating crimes.
- ДокументThe Value and Use of the Internet of Things During the Pre-trial Investigation of Criminal Offenses(2021) Zaiets, Oleksandr; Заєць, Олександр Михайлович; Yeskov, Sergey; Kononenko, YuriThis article introduces the active dissemination and development of new social relations related to the Internet of Things. The concept of the Internet of Things (IoT) is seen as a growing network of facilities, from industrial devices to consumer goods and services that can share information and perform their tasks while working, relaxing or playing sports. The main problems of the Internet of Things include information security and protection of personal data. Internet of Things technologies significantly increase the risks of violating the confidentiality of personal data due to the fact that they involve the accumulation, circulation and use of a large, territorially and technologically distributed amount of information (data) about a particular person. This raises quite natural questions about the reliability of storage of such data and ensuring their protection against unauthorized use. The article also discusses the need to implement EU legal standards on personal data protection defined by EU legislation (Data Protection Package), in particular, Regulation (EU) 2016/679 of 27.04.2016, Directive (EU) 2016/680 of 27.04 .2016 of the European Parliament and of the Council, Directive (EU) 2016/681 of 27.04.2016 19 of the European Parliament and of the Council and making the necessary amendments to the legislation of Ukraine. It should be noted that the norms of these EU legal acts should be applied from May 2018 not only in the EU member states, but also in the countries that cooperate with them.