bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation Nurses' Knowledge and Attitudes about the Prevention of the Coronavirus Disease 2019 at Emergency Units in Government Hospitals in Baghdad city / Iraq
Authors: Resham Asaad K. , Qassem Wissam J. , Mohammad Wasna J.
Published: May 2023

Background: The infectious disease caused by the novel coronavirus 2019 (COVID-19) is highly contagious and causes the death of millions of people globally. Preventive measures related to Covid-19 are the firm foundation in fighting the infection. Nurses in the frontline of healthcare systems are at the greatest risk of exposure to Covid-19 therefore, they need high preparedness for success in struggles against it.
Aims of the study: This study aims to evaluate the level of nurses' knowledge and attitudes about infection prevention and control concerning Covid-19 in emergency units of government hospitals in Baghdad city / Iraq.
Methodology: A cross-sectional descriptive study based on survey design is conducted through the period of November 2th 2020 to March 10th 2021 to evaluate nurses' knowledge and attitudes about the prevention of the Covid-19 at emergency units in government hospitals in the city of Baghdad / Iraq. The study sample was purposive (non-probability) sample (Eight hundred and seventeen) nurses, By the Self-administered questionnaire (SAQs) method; data of the study were collected. The survey was included all three major governmental health institutions hospitals (AlRusafa, Alkarkh, and Medical city) in Baghdad city / Iraq.
Results: The results demonstrated the significant relationship between nurses' knowledge level and variables of age group, experience in work, sites of Hospitals and female gender. Also, the study indicated that insufficient knowledge of the participants and a high positive level of their attitudes regarding the prevention of Covid-19 in emergency units in the city of Baghdad. However, the overall assessment of the knowledge and attitudes of the nurses was high when it was computed together.
Conclusion: The nurses at emergency units (front lines) haven't sufficient knowledge about Covid-19 and its prevention, which affects their preparations in the fight against the epidemic.
Recommendations: The study recommends that nurses develop their knowledge and continue to improve positive attitudes about infection prevention and control towards Covid-19.
Assessment the Indication for Caesarean Section among Women's attending AL -Dewaniya Maternity and Pediatric Hospital
Authors: Abo-Khuwait Ghufran F. , Meran Najmah M.
Published: May 2023

Background: Knowing the indications for a cesarean section will help to have a better understanding of this common obstetrical procedure and prepare for the high level of care management that it entails.
Aims of the study: The goal of this study was to determine the factors that influence caesarean section indications among women who visited AL-Dewaniya Maternity and Pediatric Hospital, as well as the relationship between caesarean section women's indications and socio-demographic data.
Methodology: A descriptive cross-sectional study design is conducted for the period of December 26th 2020 to June 1st 2021 at Al Dewaniya Maternity and Pediatric Hospital. The validity of the questionnaire is determined through a panel of experts and reliability is achieved through a pilot study. By a purposive sample is selected among those who are undergo caesarean section, data was collected through the use questionnaire and interview techniques; and analyzed through the descriptive and inferential statistic.
Results: the mean age was 29±7.723, most of the patient were in the age 20-29 years old (n=217; 43.4%), about (n=149; 29.8%) not read and write, more than half of study participants are housewife (n=339; 67.8%), most of study participants are overweight (n=248; 49.6%). Failure of labor progress were predominated were most common indications for cesarean section, the Oligohydramnios were the most factors indicated for cesarean section, as well as, there were no-significant relationship between women demographic data and their indications for caesarean section at p-value >0.05.
Conclusion: failure of progress of labor was the most indication for cesarean section. Oligohydramnios was the most fetal factors indicated for cesarean section.
Recommendations: Avoiding unjustified cesarean section delivery should be encouraged and detailed medical justification for performing caesareans by doctors should be provided
Assessment of Health Beliefs Regarding Weight Control among Overweight and Obese Employees in University of Mosul: Applying Health Belief Model
Authors: Ahmed Mahmoud M. , Naji Arkan B.
Published: May 2023

Background: Obesity and being overweight have become epidemics among adults in both developed and developing countries.
Aims of the study: The study aims to assess overweight and obese employees’ beliefs related to weight control behaviors.
Methodology: A descriptive study design was used to assess the employee’s beliefs related to weight control. The study was conducted between 1 / March / 2021 to 4 / October / 2021. The sample of the study consist of 80 employees whose Body Mass Index (25) or more. The instrument of the study is the Health Belief Model questionnaire for weight control behavior. The overall scale was measured on a 5-point Likert-type scale spread over the seven subscales to measure changes in HBM among employees toward body weight control. The data were collected by self-report questionnaire. Descriptive statistical methods were used to analyses data (Mean, Standard deviation, Frequency, percentage).
Results: The study showed that the majority of the participants in the study were aged between (30-39) years, (43.8%) and most of them were males (63.8%). The study finding indicated that the mean score of employees’ beliefs related to weight control behaviors was low (2.57) for all the subscales of health beliefs.
Conclusion: Researchers concluded that the overweight and obese employees’ beliefs related to weight control, in general, were low for all health belief model subscales.
Recommendations: The researchers recommended conducting studies aimed at reinforcing the beliefs of adults who suffer from obesity and overweight to reinforce their intentions towards weight control and to motivate them to change their unhealthy behaviors to healthy such as dietary behaviors and physical activity to reduce weight
Effectiveness of an Educational Program on Nurses’ knowledge about using Physiotherapy for Children with Pneumonia at Pediatric Hospitals in Babylon
Authors: Awad Muntadher K. , Ajil Zaid W.
Published: May 2023

Background: Physiotherapy is considered to aid in the removal of inflammatory exudates, tracheobronchial secretions, and airway blockages, as well as the reduction of airway resistance, in order to promote breathing and gas exchange.
Aims of the study: This study aimed to evaluate effectiveness of educational program on improve nurses knowledge about using physiotherapy to remove sputum for children with pneumonia.
Methodology: A pre–experimental design used in the present study with application of a (pre-test/ post-test I, post-test II), approach for the study group (One group), the study was carried out from 10th January 2021 to 27th June 2021 on nurses working at children's hospitals in Babylon. By using non probability sampling (purposive sample), the data collection process uses the self-administrating technique in which the nurse fills the questionnaire form by themselves; and analyzed through the descriptive and inferential statistic.
Results: Results showed a highly significant differences at P<0.01 toward effect of program through raising knowledge grades of studied respondents at the post1 period, and that could be enable confirms importance and successfulness of applying a proposed program.
Conclusion: Educational program had a positive impact in the improvement of the nurses knowledge about using Physiotherapy for Children with Pneumonia, where the results of pre-test (42%), post-test 1 (80%), and post-test 2 (78%).
Recommendations: The educational lectures and courses should be regularly done and updated for nurses' knowledge about using Physiotherapy for Children with Pneumonia
Relationship between Depressions Level and Socio-Demographic Characteristics among Adolescent Undergoing Chemotherapy Treatment at Pediatric Teaching Hospitals in Baghdad City
Authors: Ouda Ali , Mohammed Qahtan , Obaid Khamees
Published: May 2023

Background: A patient has being diagnosed with cancer and undergoing treatment. A cancer diagnosis will have a significant impact on one's life. It can be difficult to balance cancer treatment and side effects with the demands of daily life. Stress associated with cancer and it is care, according to study, can display in a many of ways, including depressive symptoms.

Aims of the study: To evaluate depression level among adolescents undergoing chemotherapy treatment at Pediatric teaching hospitals in Baghdad City and find out the relationship between depression level among adolescents undergoing chemotherapy treatment and their demographic characteristics, such as age, gender, level of education, and duration of chemotherapy.

Methodology: A descriptive correlational study, using an assessment evaluation approach was conducted in the period 15 / December / 2020 to 15/ July / 2021, to assess evaluate the level of depression for adolescents undergoing chemotherapy at pediatric hospitals in Baghdad City. A self-report questionnaire is modified developed for the purpose of the study. A purposive "non- probability" sample, of (45) adolescents, is selected for the present study.

Results: Results of the study indicates that adolescents, who are middle age and males, develop depressive symptoms more than others after being treated with chemotherapy. Adolescents’ depression has highly significant relationship with their socio-demographic characteristics of relapse, complications, mothers’ occupation, gender, education, and monthly income, duration of treatment, age, fathers’ occupation, fathers’ education, mothers’ education and age at diagnosis.

Conclusion: Adolescents’ depression is affected by their socio-demographic characteristics of relapse, complications, mothers’ occupation, gender, education, and monthly income, duration of treatment, age, fathers’ occupation, fathers’ education, mothers’ education and age at diagnosis.

Recommendations: Well-designed and constructed education program can be presented to these adolescents and their parents for the purposes of increasing their awareness toward the disease and making them able to prevent complications and declines associated depression. Regular and periodic investigations should be carried out to monitor the adolescents’ health status.
MATRIX FORMALIZATION OF GOAL-SETTING AND PERFORMANCE OF PROJECT ACTIVITIES IN THE FIELD OF INFORMATION PROTECTION AND INFORMATION SECURITY
Authors: Остапенко Г.А. , Белоножкин В.И. , Баранников Н.И. , Остапенко А.А. , Краснобородкин А.Г. , Мирошниченко Т.Ю.
Published: May 2023

Работа посвящена актуальной проблеме формализации целей, задач и ожидаемых результатов проектной деятельности при создании информационно защищенных систем. В этой связи предлагается построение матрицы целеполагания и результативности проекта, в которой столбцы относятся к выявленным на предварительном этапе противоречиям, задачам разрешения этих противоречий, ожидаемым результатам решения поставленных задач, их характеристикам новизны, практической и теоретической значимости. В свою очередь каждая строка матрицы ориентирована на конкретную задачу проектирования. Обобщенно целеполагание опирается на планируемые характеристики шанса полезности и риска ущербности создаваемой системы, для которых предлагаются аналитические метрики защищенности и формализуется поле проектной деятельности. Приводятся примеры построения необходимых формализмов для систем обеспечения информационной безопасности, а также – методик расчета рисков.

The work is devoted to the actual problem of formalizing the goals, objectives and expected results of project activities when creating information-protected systems. In this regard, it is proposed to build a matrix of goal-setting and project effectiveness, in which the columns refer to the contradictions identified at the preliminary stage, the tasks of resolving these contradictions, the expected results of solving the tasks, their characteristics of novelty, practical and theoretical significance. In turn, each row of the matrix is ​​focused on a specific design problem. In general, goal setting is based on the planned characteristics of the chance of usefulness and the risk of inferiority of the system being created, for which analytical security metrics are proposed and the field of project activity is formalized. Examples are given of constructing the necessary formalisms for information security systems, as well as methods for calculating risks.
FUZZY-SET RISK ASSESSMENT METHODOLOGY OF THE AUTOMATED "SMART HOME" SYSTEM WITH DYNAMIC TOPOLOGY
Authors: Ермаков С.А. , Чурсин А.Г. , Болгов А.А.
Published: May 2023

Рост числа новых устройств на рынке «Интернета вещей» вынуждает пользователей с каждым подключением в систему нового устройства настраивать топологию заново, причем эту проблему можно решить внедрением динамической топологии, однако в связи с широким распространением устройств интернета вещей растут и возможные риски безопасности систем, в том числе связанные с угрозой перехвата телекоммуникационного трафика. Цель работы – это повышение защищенности подсистемы обмена трафиком системы «Умный дом» с динамической топологией от атак, направленных на перехват трафика, посредством модернизации существующего методического обеспечения оценки и регулирования рисков. Предложена усовершенствованная методика оценки рисков для автоматизированной системы с динамической топологией. В качестве дополнительного параметра для оценки риска добавлен нечетко-множественный показатель доступности. Повышена объективность оценок рисков, что позволило точнее оценить безопасность системы. Рассчитан риск во время атаки на сеть с показателем доступности и доказана актуальность данного параметра. Разработаны методические рекомендации к построению безопасной автоматизированной системы «Умный дом». Использование данных рекомендаций повысило защищенность автоматизированной сети от атак.

The growing number of new devices on the Internet of Things market forces users to configure the topology anew with each connection of a new device to the system, and this problem can be solved by introducing a dynamic topology, however, due to the widespread use of Internet of Things devices, possible security risks of systems are also growing, including those associated with the threat of interception of telecommunications traffic. The purpose of the work is to increase the security of the traffic exchange subsystem of the Smart Home system with a dynamic topology from attacks aimed at intercepting traffic by modernizing the existing methodological support for risk assessment and management. An improved risk assessment methodology for an automated system with a dynamic topology is proposed. A fuzzy multiple availability indicator has been added as an additional parameter for risk assessment. The objectivity of risk assessments has been increased, which made it possible to more accurately assess the security of the system. The risk during an attack on a network with an availability indicator is calculated and the relevance of this parameter is proved. Methodological recommendations for the construction of a secure automated system "Smart Home" have been developed. The use of these recommendations has increased the security of the automated network from attacks.
EXTENDED MODEL OF OPEN SYSTEMS (PART 3)
Authors: Бугайский К.А. , Дерябин Б.О. , Табаков К.В. , Храмченкова Е.С. , Цепенда С.О.
Published: May 2023

В третьей части статьи разработана плоскость администрирования, которая заявлена в составе, но не описана в референсной модели открытых систем OSR/RM. Плоскость администрирования рассмотрена в парадигме систем управления, то есть как состоящая из объектов управления, субъектов управления и механизмов управления. Объекты управления представлены как наборы параметров – конфигурации, описывающие связи и функционирование аппаратной и программной частей вычислительной системы. При описании субъектов управления показана связь между пользователями системы, их учетными записями и соответствующими пространствами прав пользователя. Механизмы управления рассмотрены как с точки зрения внутренней структуры, так и с точки зрения выполняемых ими операций. Описание плоскости администрирования выполнено с использованием терминологического и сущностного аппарата базовой плоскости модели, разработанной в предыдущих статьях серии. В рамках разработки плоскости администрирования предложены операторы, отображающие взаимосвязи субъекта, объекта и механизма управления.

In the third part of the article, the administration plane is developed, which is stated in the composition, but not described in the reference model of open OSR/RM systems. The administration plane is considered in the paradigm of management systems, that is, as consisting of management objects, management subjects and management mechanisms. The control objects are presented as sets of configuration parameters describing the connections and functioning of the hardware and software parts of the computing system. When describing the management entities, the relationship between the system users, their accounts and the corresponding user rights spaces is shown. The management mechanisms are considered both from the point of view of the internal structure and from the point of view of the operations performed by them. The description of the administration plane is carried out using the terminological and essential apparatus of the base plane of the model developed in the previous articles of the series. As part of the development of the administration plane, operators are proposed that display the relationship of the subject, object and control mechanism.
SCIENTIFIC AND METHODOLOGICAL RECOMMENDATIONS FOR REGULATION OF INFORMATION SECURITY BREACH RISKS
Authors: Маслова М.А.
Published: May 2023

В статье рассмотрены научно методические рекомендации, касающиеся регулирования рисков информационной безопасности. Исследование содержит обобщение работ автора по анализу и управлению рисками, связанными с информационной безопасностью. Предлагается модификация методики Дельфи, реализованная и исследованная в виде программного прототипа. Анализ сходимости результатов предложенной методики сопоставляется с данными и методиками: MOF, MSAT, CRАММ, Risk IT, ГРИФ, OCTAVE, FRAP, CORAS, СТО БР ИББС, Risk Watch. Методика предполагает создание расширенной базы данных параметров из вышеуказанных методик с возможностью ее последующей модификации и дополнения, а также с рекомендациями на выходе для принятия эффективных управленческих решений, снижения и ликвидации рисков информационной безопасности для минимизации потерь предприятия.

Тhe article deals with scientific and methodological recommendations regarding the regulation of information security risks. The study contains a generalization of works [1 - 3] on the analysis and management of risks associated with information security. A modification of the Delphi methodology [2] is proposed, implemented and studied in the form of a software prototype. The analysis of the convergence of the results of the proposed methodology is compared with the data and methods: MOF, MSAT, CRAMM, Risk IT, GRIF, OCTAVE, FRAP, CORAS, STO BR IBBS, Risk Watch [4 - 6]. The methodology involves the creation of an extended database of parameters from the above methods with the possibility of its subsequent modification and addition, as well as with recommendations at the output for making effective management decisions, reducing and eliminating information security risks to minimize enterprise losses.
RISK ASSESSMENT USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM
Authors: Болгов А.А.
Published: May 2023

В работе предлагается использование адаптивной нейро-нечеткой системы вывода для оценки риска. Проводится подробный обзор адаптивной нейро-нечеткой системы вывода, выделяя основные свойства этой системы в области методов оценки рисков. Приведены основные преимущества использования адаптивной нейро-нечеткой системы вывода. Рассматривается архитектура адаптивной нейро-нечеткой системы вывода. Выделены и рассмотрены основные методы обучения системы. Предложены методы оценки эффективности модели на основе адаптивной нейро-нечеткой системы вывода для оценки риска. Представлен алгоритм внедрения адаптивной нейро-нечеткой системы вывода. Проводятся эксперименты, которые показывают влияние процесса обучения на форму функций принадлежности системы нечеткой логики. Выполнено сравнение результатов оценки риска, полученных с помощью нечеткой логики и при использовании адаптивной нейро-нечеткой системы выводы.

The work proposes the use of an adaptive neuro-fuzzy inference system for risk assessment. A detailed review of the adaptive neuro-fuzzy inference system is carried out, highlighting the main properties of this system in the field of risk assessment methods. The main advantages of using an adaptive neuro-fuzzy inference system are given. The architecture of an adaptive neuro-fuzzy inference system is considered. The main methods of teaching the system are highlighted and considered. Methods for evaluating the effectiveness of the model based on an adaptive neuro-fuzzy inference system for risk assessment are proposed. An algorithm for implementing an adaptive neuro-fuzzy inference system is presented. Experiments are being conducted that show the influence of the learning process on the form of the membership functions of the fuzzy logic system. The results of risk assessment obtained using fuzzy logic and using adaptive neuro-fuzzy inference system are compared.
SOFTWARE AND HARDWARE COMPLEX FOR MONITORING THE YOUTH INTERNET AUDIENCE
Authors: Плотников Д.Г. , Боков И.А. , Остапенко А.А. , Лихобабин С.В. , Бурцев Р.Д. , Сиделев А.А.
Published: May 2023

В работе рассматриваются принципы разработки программно-технического комплекса (ПТК) мониторинга молодежной интернет-аудитории социальных сетей для обмена контентами. Разрабатываемое прикладное программное обеспечение позволяет изучить сетевое пространство, а также оценить риски, связанные с деструктивной деятельности пользователей подросткового возраста. Авторы обращают внимание читателя на острую необходимость наличия инструментария автоматизированного исследования молодежной аудитории интернет-пространства в плане реакции подростков на учащающиеся информационно-технологические атаки Запада. При этом предлагаются соответствующие проектные решения в отношении структуры входных и выходных данных ПТК, его модулей парсинга, классификации и баз данных. Результаты работы ПТК обязательно должны подвергаться глубокой аналитической обработке, выводы которой могут служить основой для адекватных профилактических мероприятий как в отношении рисковых тематических групп социальных сетей, так и отдельных их пользователей, склонных к девиантному поведению. Особо эффективной следует считать работу по оперативному противодействию фейкам (по возможности адресно) для наиболее рисковых категорий молодежной аудитории регионального социо-информационного пространства.

The paper discusses the principles of developing a software and hardware complex (STC) for monitoring the youth Internet audience of social networks for the exchange of content. The developed application software allows you to explore the network space, as well as assess the risks associated with the destructive activities of adolescent users. The authors draw the reader's attention to the urgent need for tools for automated research of the youth audience of the Internet space in terms of the reaction of adolescents to the increasing information technology attacks of the West. At the same time, appropriate design solutions are proposed regarding the structure of the input and output data of the PTC, its modules for parsing, classification and databases. The results of the work of the PTK must necessarily be subjected to deep analytical processing, the conclusions of which can serve as the basis for adequate preventive measures both in relation to risky thematic groups of social networks and their individual users prone to deviant behavior. Particularly effective should be considered the work on operational counteraction to fakes (targeted if possible) for the most risky categories of the youth audience of the regional socio-information space.
DEPENDENT PROTECTION OF THE CORPORATE DISTRIBUTED NETWORK
Authors: Громов Ю.Ю. , Карасев П.И. , Тихонов А.М.
Published: May 2023

В статье рассматривается методика защиты корпоративной распределенной сети с помощью создания эшелонированной обороны. Объясняется основной принцип эшелонирования, проводится параллель между обычной обороной и эшелонированной. Приводится методика правильного построения эшелонированной обороны, и как на неё влияет избыточность. Проводится расчет достижения эффективности при использовании технологии. В Cisco Packet Tracer была построена модель корпоративной распределенной сети, для этой сети были проработаны разные варианты защиты, включая правильно настроенную эшелонированную оборону. Были проведены опыты, результаты которых отражены в статье, доказывающие эффективность использования правильно настроенной эшелонированной защиты. Приведены минусы и плюсы технологии. Описаны методы защиты, позволяющие построить комплекс мер безопасности вместе с эшелонированной обороной сети.

The article discusses the method of protecting a corporate distributed network by creating a layered defense. The basic principle of separation is explained, a parallel is drawn between conventional and echeloned defense. The methodology of the correct construction of echeloned defense is given, and how redundancy affects it. The calculation of achieving efficiency when using the technology is carried out. In Cisco Packet Tracer, a model of a corporate distributed network was built, various protection options were worked out for this network, including properly configured layered defense. Experiments were conducted, the results of which are reflected in the article, proving the effectiveness of using properly configured layered protection. The cons and pros of the technology are given. The methods of protection that allow to build a set of security measures together with the layered defense of the network are described.
MODEL TRAINING BASED ON ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR RISK ASSESSMENT
Authors: Болгов А.А.
Published: May 2023

Работа посвящена анализу производительности модели для оценки риска на основе адаптивной нейро-нечеткой системы вывода. Подробно рассмотрен алгоритм обучения адаптивной нейро-нечеткой системы вывода. Проведено несколько экспериментов в среде MATLAB для оценки эффективности предложенного метода нечеткой оценки риска. Рассмотрено ограниченное количество эпох для каждого эксперимента. Для сравнения проводимых экспериментов, обучение системы проводилось гибридным методом и методом обратного распространения. При проведении экспериментов были использованы восемь основных функций принадлежности. В результате проведенных экспериментов получены оценки основных параметров, связанных с ошибками обучения и проверки системы. Проведено сравнение полученных результатов для всех заданных исходных параметров. Выявлена зависимость изменения величины ошибки от количества эпох. Приведены результаты обучения модели на основе адаптивной нейро-нечеткой системы вывода при различном количестве эпох.

The work is devoted to the analysis of the model performance based on an adaptive neuro-fuzzy inference system for risk assessment. The algorithm of training an adaptive neuro-fuzzy inference system is considered in detail. Several experiments were conducted in the MATLAB environment to evaluate the effectiveness of the proposed method of fuzzy risk assessment. A limited number of epochs for each experiment is considered. To compare the experiments conducted, the system was trained using a hybrid method and a back propagation method. During the experiments, eight basic membership functions were used. As a result of the experiments, estimates of the main parameters associated with errors in training and system verification were obtained. A comparison of the results obtained for all the given initial parameters is carried out. The dependence of the error change on the number of epochs is revealed. The results of training a model based on an adaptive neuro-fuzzy inference system for a different number of epochs are presented.

neuro-fuzzy system, internet of things, membership function, training method, risk, training error, checking error, epoch.
IMPROVING THE RFID CARD INITIALIZATION PROCESS USING A SCANNED FINGERPRINT IMAGE
Authors: Громов Ю.Ю. , Пушкин П.Ю. , Карасев П.И. , Гладышев М.А.
Published: May 2023

В работе предлагается разработка усовершенствованной высокочастотной RFID-карты (NFC-карты) со сканером отпечатка пальцев. Описывается стек протоколов NFC для различных существующих реализаций данной технологии и выбора подходящего места для внедрения элементов управления сканером отпечатка пальцев. Приводится описание процесса инициализации карт, основанных на протоколе ГОСТ Р ИСО/МЭК 14443-3-2014. Осуществляется сравнительный анализ существующих видов сканеров отпечатков пальцев и поиск приемлемого решения в отношении применения его в разработке по параметрам стоимости, должного уровня безопасности и типоразмера самого датчика. Приводится новый алгоритм инициализации карты после внедрения в её состав сканера отпечатка пальцев, а также преимущества данного подхода в отношении решения проблем передачи карт третьим лицам, ретрансляции или копирования к затрачиваемым средствам. Предлагаются потенциальные сферы применения данной разработки и преимущества её внедрения по отношению к стандартным решениям. В завершении делаются заключения о перспективах внедрения данной разработки в описанные сферы применения и целесообразности данного процесса для компаний-потребителей разрабатываемого продукта.

The paper proposes the development of an improved high-frequency RFID card (NFC card) with a fingerprint scanner. The NFC protocol stack for various existing implementations of this technology and the choice of a suitable place for the implementation of fingerprint scanner controls are described. The process of initialization of cards based on the GOST R ISO/IEC 14443-3-2014 protocol is described. A comparative analysis of existing types of fingerprint scanners is carried out and a search for an acceptable solution regarding its use in development according to the parameters of cost, the proper level of security and the size of the sensor itself. A new algorithm for initializing the card after the introduction of a fingerprint scanner into its composition is presented, as well as the advantages of this approach in solving the problems of transferring cards to third parties, retransmitting or copying to the expended funds. The potential areas of application of this development and the advantages of its implementation in relation to the standard are proposed.
SOFTWARE AND HARDWARE COMPLEX FOR SUBJECT IDENTIFICATION WITH INCREASED RISK OF DEVIANT BEHAVIOR
Authors: Зимницкий А.Г. , Остапенко А.А.
Published: May 2023

В данной работе рассматривается реализация программно-технического комплекса распознавания эмоциональных состояний человека, выражающихся мимикой с помощью методов машинного обучения и компьютерного зрения и расчёт риск-анализа, используя пороговые оценки, которые задаются в программном обеспечении для каждой эмоции в отдельности. Распознавание эмоций происходит с помощью системы кодирования лицевых мышц, представляющую собой анатомическую систему для описания всех визуально различимых движений лица. С помощью модели, предобученной на 1 млн. изображений, происходит анализ входного изображения (кадра), либо видеопотока. На выходе имеем гистограмму значений эмоций, определённых данным программным комплексом и риск-анализ поведения субъекта. Система не является автономной, поэтому результаты работы программно-технического комплекса должны проходить дополнительную аналитическую обработку профессионалами.

In this paper we consider the implementation of software and hardware complex recognition of emotional states of a person expressing facial expressions using methods of machine learning and computer vision and calculation of risk-analysis, using thresholds that are set in the software for each emotion separately. Emotions are recognised using a facial muscle coding system, which is an anatomical system for describing all visually discernible facial movements. With the help of a model pre-trained on 1 million images, the input image (a frame) or a video stream is analysed. The output is a histogram of the values of emotions determined by the software package and risk-analysis of subject's behaviour. The system is not stand-alone, that is why the results of pro-software-technical complex should go through additional analytical processing by professionals.
RISK ASSESSMENT USING A NEURO-FUZZY SYSTEM
Authors: Ермаков С.А. , Болгов А.А.
Published: May 2023

В работе предлагается использование нейро-нечеткой системы в методике оценки риска. Проводится подробный обзор нейро-нечеткой системы, выделяя основные свойства этой системы в области методов оценки рисков. Рассмотрены типы нейро-нечетких систем. Приведены основные преимущества использования модели на основе нейро-нечеткой системы. Представлен алгоритм внедрения нейро-нечеткой системы в метод оценки риска. Предложен метод обучения на основе алгоритма Левенберга-Марквардта. Проведены различные эксперименты с использованием модели на основе нейро-нечеткой системы с применением выбранного алгоритма обучения для разного количества запросов на доступ. Полученные результаты экспериментов по оценке риска при использовании модели на основе нейро-нечеткой системы сравнивались с результатами, полученными при помощи модели на основе нечеткой логики. Также было выполнено сравнение результатов экспериментов с результатами, полученными при использовании модели на основе адаптивной нейро-нечеткой системы вывода.

The work proposes the use of a neuro-fuzzy system in the risk assessment methodology. A detailed review of the neuro-fuzzy system is carried out, highlighting the main properties of this system in the field of risk assessment methods. The types of neuro-fuzzy systems are considered. The main advantages of using a model based on a neuro-fuzzy system are given. An algorithm for implementing a neuro-fuzzy system into a risk assessment method is presented. A learning method based on the Levenberg-Marquardt algorithm is proposed. Various experiments were carried out using a model based on a neuro-fuzzy system using the selected learning algorithm for a different number of access requests. The obtained results of risk assessment experiments using a model based on a neuro-fuzzy system were compared with the results obtained using a model based on fuzzy logic. The results of the experiments were also compared with the results obtained using a model based on an adaptive neuro-fuzzy inference system.
THE DIRECTION OF IMPROVING THE REGULATORY SUPPORT OF INFORMATIZATION OBJECTS BASED ON THE RISK ANALYSIS OF THEIR CYBERSECURITY
Authors: Остапенко А.Г. , Щербакова Д.В. , Нархов Д.А. , Макаров Ю.В. , Кривошеин А.С.
Published: May 2023

Рассматривается проблема развития нормативно-правового обеспечения информационной безопасности предприятия. Подчеркивается, что в нынешних условиях обострения информационного противоборства с Западом ритмичность и скорость модернизации вышеуказанного обеспечения должна неуклонно нарастать. Утверждается, что реальной базой такой модернизации может служить именно риск-мониторинг нарушения кибербезопасности в мире и на предприятии, который станет основой для оперативной выработки актуальных политик, регламентов и инструкций персонала защищаемых организаций. В данном аспекте особое внимание обращается на революционные кибертехнологии, ускоренно внедряемые в ходе цифровой трансформации современного общества. Именно в этом контексте предлагаются варианты целеполагания исследований по совершенствованию нормативно-правовой защиты информации, т.е. определяются его объекты, предметы, цели и задачи. К тому же, предлагается информационная база исследования в виде перечня сайтов, ведущих статистику отказов атакуемых кибер-объектов. Отсюда может быть получена динамика рисков, способствующая нормотворчеству в сфере обеспечения информационной безопасности.

The problem of the development of regulatory and legal provision of information security of the enterprise is considered. It is emphasized that in the current conditions of aggravation of the information confrontation with the West, the rhythm and speed of modernization of the above-mentioned provision should steadily increase. It is argued that the real basis for such modernization can be precisely the risk monitoring of cybersecurity violations in the world and at the enterprise, which will become the basis for the operational development of relevant policies, regulations and instructions of personnel of protected organizations. In this aspect, special attention is paid to revolutionary cyber technologies that are being rapidly implemented during the digital transformation of modern society. It is in this context that the options for the goal-setting of research on improving the regulatory protection of information are proposed, i.e. its objects, subjects, goals and objectives are determined. In addition, the information base of the study is proposed in the form of a list of sites that conduct statistics of failures of attacked cyber objects. Hence, the dynamics of the figures can be obtained, which contributes to norm-making in the field of information security.
METHODS OF INTELLIGENT DATA ANALYSIS USED IN THE INTRUSION DETECTION
Authors: Лось В.П. , Маланьин Д.Д.
Published: May 2023

Развитие информационных технологий явилось причиной драматически возросшего числа атак на компоненты информационных систем, что, в свою очередь, сделало задачу обнаружения вторжений как никогда актуальной и важной. Применение методов интеллектуального анализа данных дает широкие возможности в различных областях науки и техники, в том числе для решения задач информационной безопасности. В рамках данной статьи предлагается классификация систем обнаружения вторжений по различным критериям. Приведен обзор популярных методов интеллектуального анализа данных, получивших широкое распространение в других областях науки, в разрезе применения к задаче обнаружения вторжений. Рассмотрен подход к решению задач обнаружения вторжений с применением рекуррентной нейронной сети.

The development of information technology has caused a dramatic increase in the number of attacks on information system components, which, in turn, has made the task of intrusion detection more relevant and important than ever. The use of data mining methods provides ample opportunities in various fields of science and technology, including for solving information security problems. This article proposes a classification of intrusion detection systems according to various criteria. A review of popular methods of data mining, which are widely used in other fields of science, is given in the context of application to the problem of intrusion detection. An approach to solving intrusion detection problems using a recurrent neural network is considered.
ASPECTS OF APPLYING TWO-FACTOR AUTHENTICATION USING QR CODES TO PROTECT AGAINST COMPUTER ATTACKS
Authors: Анцупов П.А. , Булычев М.А. , Москалева Е.А.
Published: May 2023

В современном мире в условиях повсеместной цифровизации информации вопросы безопасного доступа и работы с персональными данными стали основными и требующими постоянного внимания. Согласно статистике, начиная с 2018 года количество пользователей социальных сетей возрастает с каждым годом. Вследствие участившегося количества компьютерных атак, направленных на кражу конфиденциальных данных участников компьютерных сетей, все больше внимания уделяется безопасности данных. Одним из наиболее приоритетных методов обеспечения защищенности информации является применение алгоритмов двухфакторной аутентификации. В сложившейся ситуации немаловажным аспектом также выступает правильная конфигурация и внедрение механизмов защиты персональных данных. В данной статье рассматриваются вопросы организации безопасности информации пользователей социальных сетей и информационных систем, с использованием QR-кодов для противодействия компьютерным атакам.

In the modern world, in the context of widespread digitalization of information, the issues of secure access and work with personal data have become basic and require constant attention. According to statistics, since 2018, the number of social network users has been increasing every year. Due to the increasing number of computer attacks aimed at stealing the confidential data of computer network participants, more and more attention is paid to data security. One of the highest priority methods for ensuring the security of information is the use of two-factor authentication algorithms. In the current situation, an important aspect is also the correct configuration and implementation of personal data protection mechanisms. This article discusses the issues of organizing the security of information for users of social networks and information systems, using QR codes to counter computer attacks.
INVESTIGATION OF MODERN NANO-COMPOSITE COATINGS USED IN PASSIVE CORROSION
OF METAL STRUCTURES
Authors: Elshan Soltanov Elshan Soltanov , Kamran Huseynov Kamran Huseynov , Yusif Samadov Yusif Samadov
Published: May 2023

Corrosion caused by the interaction of metal with the environment is one of the biggest problems affecting the country's economy. One of the easiest ways to prevent corrosion is to cover metals with paint, plastic, or wood. Several types of coatings based mainly on electrochemical principles have been adopted by corrosion scientists to prevent corrosion. Fortunately, four types of coatings are used in different ways in the metal and metallurgical industry, based on cost and effectiveness. One of the cheapest and most effective ways to prevent corrosion is to use barrier coatings such as plastic, powder, and paint. Thus, nanocomposite coatings by electrochemical deposition offer excellent scratch and corrosion resistance on metal surfaces. These coatings can be used to restore components instead of replacing them, resulting in reduced maintenance costs and inconvenience. Significant improvements in corrosion protection of steel have been reported using metal-metal matrix, metal-metal oxide matrix, metal-polymer matrix and ceramic-metal matrix nanocomposite. This review provides an overview of the work on nanocomposite coatings and re-evaluates the literature for further research in this still unproven field.
Keywords: Metal Structures, passive corrosions, nano-containing coatings, polymerization, Nanotechnology
AN INTELLIGENT TRAFFIC CONTROL SYSTEM FOR BAKU
Authors: Nijaat Zaman Nijaat Zaman
Published: May 2023

This article introduces a new traffic control system framework, Mobile Intelligent Traffic Management System (MITCS), designed for Baku for the next generation. According to statistics, every year people lose 154 hours in traffic on average. 1.3 million people die in accidents. The system combines micro-mechanical and electrical technologies embedded system, wireless transmission, image processing, and solar module. The objectives of this study are:
1. Research and design new and multifunctional traffic controller in the box;
2. Design a cost-effective basis contribution to the communication network;
3. Use image processing methods of developing a detector of non-interfering means for control of traffic dynamics;
4. Using artificial intelligence adapt traffic dynamics and update traffic control strategies;
5. Propose a special concept for mobile intelligent traffic control Center.
Finally, an experimental system consisting of Virtual Traffic Police (VTP), Status Monitor Agent (SMA) and Traffic Control Integration Module (TCIM). There will be a system highly efficient, self-organized and self-coordinated support motion control mechanism.
Keywords: Transportation, artificial intelligence, information technologies.
FIBER OPTICAL SENSORS FOR IOT FACILITIES
Authors: Yashar Hajiyev Yashar Hajiyev
Published: May 2023

Mass development of the latest applications for the famous 19 services of the Internet of things (IOT) becomes dominant a factor in the intellectually intensive segments of automation of technological systems. IoT is supported by regulatory switching of IoT components and devices to the Internet for information exchange with these facilities in order to control and regulate their functional modes. Our article prescribes the use of fiber optic sensors devices that can be equipped with technological and industrial installations in order to monitor them and detect deviations from operating modes. The development of fiber optic communication and monitoring devices makes IOT systems easily manageable and remotely adjustable.
The integration of devices for reading technological parameters and their further transmission over a fiber optic network gives rise to several problems that were analyzed in detail in the article. In this regard, it can be established that fiber optic IOT has a broad development perspective. This article describes the current capabilities of the Internet of Things, and the constituent components of the Internet of Things, and also presents the theoretical premises that underlie the Internet of Things.
Keywords: Internet of things, fiber-optical sensor, fiber network, signal processing, home safety monitoring, technological parameters acquisition.
INTELLIGENT APPROACH TO LOCAL AND GENERAL PHYSIOTHERAPY DEVICES
Authors: Aynur Jabiyeva, Anar Baghirov Aynur Jabiyeva, Anar Baghirov
Published: May 2023

This paper discusses the usage of intelligent approach to a physiotherapy. Physiotherapy as a branch of medicine has existed for a long time, but its methods of application remain about the same as they were a hundred years ago. This causes a number of problems, in particular a sceptical attitude towards physiotherapy itself. The use of traditional techniques in this field has a major influence on its attitude. Even though even traditional methods of treating patients with physiotherapy show good results, people are increasingly turning to medication. However, these methods are not directed at the individual patient, with his or her personal problems, and can be detrimental to the patient, let alone the treatment. Every patient, irrespective of gender, race or age, has his or her own individuality. Physiotherapists now prescribe treatment to patients on the basis of their findings and personal experience. But this is not always the right approach, especially if we're talking about the severely or chronically ill patients.But we are lucky to live in the era of computer progress, when machines can not only help in determining the correct diagnosis, but also autonomously make decisions about the patient's treatment. With this modern approach to health care, it is even possible to automate certain areas. A global collection of data on patients, with their different illnesses and experiences, will help. By processing this data, we can create knowledge bases, with different patterns, so that the patient's treatment plan will be as appropriate and accurate as possible. This approach is already being used in other areas of medicine, for instance for the recognition of X-ray images. Using fuzzy logic, machine learning and artificial intelligence algorithms, data from databases can be used to create predefined patient treatment patterns. This can help in determining the diagnosis and prescribing the right treatment in cases where doctors take a long time to decide on the right approach.
Keywords: Physiotherapy devices, Fuzzy logic, Machine learning, Artificial Intelligence, Data bases, Biofeedback.