This paper studies information security for information communication technology (ICT) users in Russia. The study used dialectic, metaphysical and tabular methods. An analysis of the effectiveness of the legal regulation system of ICT security used in Russia starts with a presentation of the legal principles for ensuring the information security of those using ICT and the problem statement. Further, the paper analyzes federal laws; articles of the Russian Criminal Code related to the malicious use of ICT and the illegal receipt of personal information; the theoretical research in this area; the bill to provide consumers with the opportunity to use pre-installed Russian programs when selling certain types of technically complex goods; judicial practice, and the basic standards in this field. Legislative changes were studied for the period from 2015 to 2020. Using the example of these changes, the improvement of the field of ICT security in Russia was demonstrated. In conclusion, changes are proposed that will bring us closer to solving the problem of the emergence malicious ICT which collect user information, including confidential data.
The article reveals the peculiarities of the use of artificial intelligence technologies in judicial and law enforcement practices in the Russian Federation, which are directly related to the strict legal regulation of substantive and procedural law. The authors associate the possibility of using artificial intelligence with the administrative activities of state bodies aimed at solving the strategic tasks of the state. The authors identify the positive and negative aspects of the use of artificial intelligence in the activities of law enforcement agencies.
he article reveals a number of aspects of digital fiancial assets in the form of cryptocurrencies as a subject of legal regulation taking into account the mechanism of cryptocurrency formation and peculiarities of its use in economic activity. The analysis of approaches of public authorities of the Russian Federation to cryptocurrency as a means of payment. An analogy between cryptocurrency and “classical” money is presented, taking into account the specifi properties of cryptocurrency as a specifiinformation technology aimed at solving a practical mathematical problem. The analysis of a number of Russian bills aimed at the legal regulation of digital rights and digital fiancial assets, which will legalize the use of cryptocurrencies in our country.
This study concerns the use of crypto-currency with specific reference to the situation in Russia. A variety of such systems exist; Bitcoin, however, is perhaps the best-known example and will be used as synonymous with the concept throughout this article. Our findings not only show how the views of Russian government bodies are formed and developed, but also sheds light on the specific innovative methods which legal entities use for development of the economy. Consideration will be given to recent developments within Russia which has been more active than many countries in seeking to clarify the status of Bitcoin and providing for the regulation of the technology.
The article reviews the problems of using an electronic document (i.e. legally significant computer information) as a necessary tool for building a digital economy. This problem becomes of special importance in terms of implementation of distributed computing in the interests ofmodern technologies, including Big Data,Artificial Intelligence, Blockchain, Industry 4.0,Industrial Internetof Things,Virtual and Augmented Reality technologies, etc. The authors showthat in case of development and adoption ofthe Law "On Electronic Document", we can link the concepts of "Electronic Document" and "Data Message", and can identify several categories of Computer Information (Electronic data interchange) having asignificance: specified Computer data, traffic data, stored Computer data, traffic data,content data.
The article reviews the problems of using an electronic document (i.e. legally significant computer information) as a necessary tool for building a digital economy. This problem becomes of special importance in terms of implementation of distributed computing in the interests of modern technologies, including Big Data, Artificial Intelligence, Blockchain, Industry 4.0, Industrial Internet of Things, Virtual and Augmented Reality technologies, etc. The authors show that in case of development and adoption of the Law "On Electronic Document", we can link the concepts of "Electronic Document" and "Data Message", and can identify several categories of Computer Information (Electronic data interchange) having a significance: specified Computer data, traffic data, stored Computer data, traffic data, content data.
This article investigates the problem of identifying a person on the Internet by legal and technical means. The practice of identifying people in Russia and the UK was studiedand compared. Russia was selected because its legislation is well known to the authors, and the UK was selected as it has developed a mature system for the online identification of individuals and relationships and a certain legal regulation in this sphere.An analysis of two government programs was made, namely: the UK Identity Assurance Programme of the Government Digital Service and the Russian Government Decree on “The development of the Federal state information system”. In terms of technological background for person’s identification, the practice of using IPv4 and IPv6 was explored. Russia's specific problems are analysed via the protection of privacy in the case of personal identification and the processing of personal data on the Internet. The authorsdraw conclusions about the division of the concepts of identification and individualization of people on the Internet. Weintroduceourown definition of personal identification on the Internet and proposean amendment to the Russian concept of personal data: the definition of personal data should include the IP address of a person.
Aimed at raising the effectiveness of the judicial system and budget expenditure, this article views it through the Queue Theory, which allows solving a non-trivial task of determining the system’s type and key parameters.
The Russian judicial system is a complex network of queuing systems with a discretionary number of service centers (judges), each being a queuing system itself. It simultaneously includes multi-channel and single-channel queuing systems, is stochastic, non-linear and open. The demand flow is heterogeneous, without consequences or losses and has different priority classes (absolute or relative priority). It may be described as stochastic with an uneven intensity and dynamic prioritization.
This article defines three parameters of the conceptual judiciary model: structural, stress and functional. It also points to the problems of the judicial system viewed as a mathematical model, which must be addressed by the rational disciplines of buffering and service.
Proposals of the Supreme Court of the Russian Federation on the synchronization of the system of courts of general jurisdiction and the system of commercial courts and their rules of procedure may lead to the curtailing of the basic principles of fair trial, as well as the loss of public confidence in government institutions and bodies of justice. The key provisions of this legislative initiative are: cessation of the duty of the judge (the court) to provide reasoned judicial decisions and establishment of the categories of cases on which the reasoned judgment is mandatory. This approach is being reviewed by the author and the explanation is given as to how this legislative initiative comes into conflict with the universally recognized principles of international law. The author suggests a complete rejection of the initiatives that do not meet the interests of justice or the public, as well as restoration of the courts’ (the judge’s) duty to provide reasoned judgments at all levels (or instances).
In our research, questions about the legitimacy of using information that was posted publicly explored the features of the use of open licenses and other agreements for the to provide open content for e-learning in Russia. It was shown that the universities (in Germany, Russia, the United Kingdom, the United States, and France) considered the right to use the results of intellectual activity that was created by their employees in different ways. Emphasis is placed on the practice in Russia.
The use of cloud computing to ensure interaction between the state and citizens allows to speed up information interaction, to realize state services, to reduce the costs of providing such interaction, but at the same time this interaction raises important questions about the reliability of the cloud provider and security of interaction. Providers of the cloud can be both public authorities and private organizations. In the event that the cloud provider is a government agency, it can be assumed that all the requirements for security will be met. However, if the cloud provider is a private person, then we cannot be sure of security, if these requirements for security are not mandatory. It should be noted that Russian legislation does not require the mandatory application of information security standards. In this regard, the security of stored information in the clouds and its legislative support, the responsibility of providers providing cloud access services are very significant for the use of this technology in Russia.
The article discusses the possibility of providing students with confidential information for e-learning. We have examined the legal regulation of the regime of trade secrets. There were shown the technical methods of protection and accountability for violations. The paper concluded that the need to adopt a number of legal norms, which specify the procedure for the use of confidential information in e-learning environment.
This article examines the impact of Big Data technology on Russian citizens' constitutional rights to a private life. There are several laws in the Russian Federation covering data privacy and protection, but these are proving inadequate to protect the citizens' rights in the face of the ever-increasing use of massive data sets and their analysis by Big Data tools. One particular problem in this regard is that datasets of anonymised records currently not covered under personal data laws (because they do not identify individuals) can, in fact, be used to identify data subjects (the individuals to whom the data refers) when combined and analysed using Big Data tools. Furthermore, existing sanctions for misuse of personal data are minor, and often fail to act as a deterrent when the commercial benefits of exploiting user data (e.g. through targeted advertising) are so much greater. From the point of view of companies handling Big Data, a general confusion over definitions and responsibilities is making compliance with the law difficult, leaving most to come up with their own forms of best practice, rather than being able to follow clear industry recommendations. The article examines existing laws and oversight bodies, discusses how the current provisions are inadequate to deal with new developments in Big Data, and proposes recommendations for amending and updating existing laws and policies.