Technologies and methodology of security systems
Glushchenko V.V. —
Neurotechnologies in Geopolitics, Management, Economics during the Global crisis and hybrid Wars (Part 2)
// Security Issues.
– 2022. – № 3.
– P. 1 - 18.
DOI: 10.25136/2409-7543.2022.3.38195 URL: https://en. nbpublish.com/library_read_article.php?id=38195
The subject of the article is methodological aspects of the application of neurotechnologies in management, economics and geopolitics during the global crisis and hybrid wars; the object of the work is neurotechnologies in the conditions of the 9th technological order; the purpose of the article is to reduce the geopolitical risk in international relations during the 9th technological order, the development of the 9th technological order. The relevance of the article is related to the geopolitical crisis and the intensification of the use of neurotechnologies in the process of geopolitical competition during the transition of the world to a new world order; it is important to take into account that the development of neurotechnologies is one of the main directions of technological development in the formation of the 9th technological order. The scientific novelty of the work is determined by the synthesis of the methodology of managing geopolitical risks in the conditions of the global crisis, based on the development and practical application of neurotechnologies in the period of the 9th technological order. To achieve this goal, the following tasks are solved: the concept and features of geopolitical risk are introduced; the influence of geopolitical risk on the sustainability of the development of the 9th technological order is investigated; methodological provisions of neurogeopolitics are formed, changes in world orders in their connection with technological patterns (orders) is studied; the evolution of military methods in geopolitics is described in the process of changing technological patterns; the concept of managing the geopolitical risk of the state is formed. Scientific methods are: historical analysis; neurotechnology; geopolitics; political science; methodology and philosophy of science, a systematic approach; heuristic methods; the method of constructing scenarios
war, management, the science, neurotechnologies, risk, geopolitics, competition, crisis, effectiveness, the tool
Legal support of national security
Polikarpova I.V., Zaitseva O.V. —
Law enforcement activities of subjects of crime prevention
// Security Issues.
– 2022. – № 3.
– P. 19 - 27.
DOI: 10.25136/2409-7543.2022.3.37368 EDN: RYXQGI URL: https://en. nbpublish.com/library_read_article.php?id=37368
The article is devoted to theoretical and applied research of law enforcement activities of subjects of crime prevention. The subject of scientific knowledge are the norms of criminological legislation and subordinate normative legal acts; the practice of implementing these norms by relevant subjects, as well as scientific approaches to theoretical understanding of law enforcement, factors and indicators that allow improving efficiency in the field under consideration. The aim of the work is a comprehensive empirical study of the effectiveness of law enforcement in the field of preventive criminological activity and the development of a specific mechanism for its optimization. The methodological basis of the study was made up of general scientific methods of cognition (logical, system-structural, generalization, analysis, synthesis) and a number of private scientific methods, namely statistical, sociological, nomotetic, based on the author's methodology for calculating qualitative and quantitative indicators of the state of crime and law enforcement activities implemented in the field of crime prevention. The novelty of the work lies in the fact that on the basis of the conducted research, new empirical data were obtained regarding the effectiveness of law enforcement activities of prevention subjects. The results obtained made it possible to identify the reasons for the low productivity of this activity, which should include not only certain contradictions and shortcomings of preventive legislation, but also existing defects in legal implementation techniques, distortions towards formal law enforcement and repressive practices. The main forms and methods of work of subjects of criminological prevention, the level of interaction between various bodies and subjects of crime prevention are analyzed, which made it possible to identify gaps and shortcomings of legal regulation of this activity and to form the main directions for its improvement. The scope of application of the results obtained is the practical activity of the subjects of crime prevention, as well as the conclusions and suggestions obtained can be useful for further improvement of the norms of preventive legislation.
preventive law, law enforcement agencies, subjects of crime prevention, criminological prevention, law enforcement practice, offense, crime, preventive legal relations, form of preventive action, criminological legislation
Informational support of national security
Pleshakova E.S., Filimonov A.V., Osipov A.V., Gataullin S.T. —
Identification of cyberbullying by neural network methods
// Security Issues.
– 2022. – № 3.
– P. 28 - 38.
DOI: 10.25136/2409-7543.2022.3.38488 EDN: BEINMG URL: https://en. nbpublish.com/library_read_article.php?id=38488
The authors consider in detail the identification of cyberbullying, which is carried out by fraudsters with the illegal use of the victim's personal data. Basically, the source of this information is social networks, e-mails. The use of social networks in society is growing exponentially on a daily basis. The use of social networks, in addition to numerous advantages, also has a negative character, namely, users face numerous cyber threats. Such threats include the use of personal data for criminal purposes, cyberbullying, cybercrime, phishing and cyberbullying. In this article, we will focus on the task of identifying trolls. Identifying trolls on social networks is a difficult task because they are dynamic in nature and are collected in several billion records. One of the possible solutions to identify trolls is the use of machine learning algorithms. The main contribution of the authors to the study of the topic is the use of the method of identifying trolls in social networks, which is based on the analysis of the emotional state of network users and behavioral activity. In this article, in order to identify trolls, users are grouped together, this association is carried out by identifying a similar way of communication. The distribution of users is carried out automatically through the use of a special type of neural networks, namely self-organizing Kohonen maps. The group number is also determined automatically. To determine the characteristics of users, on the basis of which the distribution into groups takes place, the number of comments, the average length of the comment and the indicator responsible for the emotional state of the user are used.
social network, cybercrimes, computer crime, personal data, neural networks, kohonen map, machine learning, cyberbullying, artificial intelligence, bullying