August 2023
Features of e-business and e-commerce with a reflection on the privacy in the digital age
2023, vol.15 , no.3, pp. 115-126
Article [2023-03-12]
E-business and its basic component e-commerce are components of the modern digital society. The application of contemporary information and communication technologies allows their establishment in social and economic life. The article presents an overview of the main features, models and approaches in building e-business and e-commerce systems. In addition, specific problems in the processing of personal data in the network environment are structured and basic requirements that must be respected in their e-business and e-commerce communications are summarized.
Irina Noninska, Radi Romansky. Features of e-business and e-commerce with a reflection on the privacy in the digital age. International Journal on Information Technologies and Security, vol.15 , no.3, 2023, pp. 115-126.
An approach to the design of formal and informal education services for the system architecture: The lens of organization, competence, pedagogy, and technology
2023, vol.15 , no.3, pp. 107-114
Article [2023-03-11]
The paper presents an approach to a design of formal and informal education services for the system architecture developed within the European Union Erasmus+ eMediator project. An ‘Education as a services’ approach requires a specific design of elements that rely on four components: organization, competence, pedagogy, and technology. Artificial intelligence will serve as a tool that enables performance of all functions from each component. This study concentrates on a specific design of educational services that would correspond to the four components. It relies on use case method that allows for identification, clarification, and organization of elements crucial for the system requirements. In the future, the designs of educational services can be used in other systems that are developed for educational purposes.
Małgorzata Gawlik-Kobylińska. An approach to the design of formal and informal education services for the system architecture: The lens of organization, competence, pedagogy, and technology. International Journal on Information Technologies and Security, vol.15 , no.3, 2023, pp. 107-114.
Short-Term Load Forecasting using Artificial Neural Networks techniques: A case study for Republic of North Macedonia
2023, vol.15 , no.3, pp. 97-106
Article [2023-03-10]
Modernization and liberalization of power system in North Macedonia offers an opportunity to supervise and regulate the power consumption and power grid. This paper proposes models for short-term load forecasting using artificial neural network in order to balance the demand and load requirements and to determine electricity price. Neural network approach has the advantage of learning directly from the historical data. This method uses multiple data points. Results from the research show that the quality of the short-term prediction depends on the size of the data set and the data transformation.
Ana Kotevska, Nevenka Kiteva Rogleva. Short-Term Load Forecasting using Artificial Neural Networks techniques: A case study for Republic of North Macedonia. International Journal on Information Technologies and Security, vol.15 , no.3, 2023, pp. 97-106.
Feature selection using bio-inspired optimization for IoT intrusion detection and prevention system
2023, vol.15 , no.3, pp. 87-96
Article [2023-03-09]
Nowadays smart Internet of Things (IoT) devices are used briskly, and these devices communicate with each other via wireless medium. However, this increase in IoT devices has resulted in a rise of security issues associated with the IoT system. Therefore, an intrusion detection and prevention system (IDPS) is used to locate and report any malicious activity. The IDPS's feature selection (FS) task is necessary to improve the data quality and decrease the data used for classifying intrusive traffic. Therefore, this paper proposes a novel FS method that hybridizes improved salp swarm algorithm and harris hawk optimization algorithm. The XGBoost classifier is used for classifying reduced network traffic. Proposed system demonstrates high accuracy and low computation time, surpassing other related approaches used for the IDPS feature selection task.
Richa Singh, R.L. Ujjwal. Feature selection using bio-inspired optimization for IoT intrusion detection and prevention system. International Journal on Information Technologies and Security, vol.15 , no.3, 2023, pp. 87-96.
The power of intention in detecting social engineering attacks
2023, vol.15 , no.3, pp. 75-86
Article [2023-03-08]
Social engineering attacks are increasing over the years along with the growth in Internet users. Our study aims to find ways to improve users’ protection against these attacks. Finding a suitable way to enhance users’ detection will have the impact of reducing the number of victims. Our study uses quantitative methods including experiment (role play) and a questionnaire to collect data. The findings suggest that raising users’ intention to validate the authenticity of received messages will increase their ability to make a robust decision about deceptive messages. The detection rate significantly increased when users have been alerted about social engineering attacks.
Ibrahim Mohammed Alseadoon. The power of intention in detecting social engineering attacks. International Journal on Information Technologies and Security, vol.15 , no.3, 2023, pp. 75-86.
Software implementation of PSPISE-based models in the Python programming language
2023, vol.15 , no.3, pp. 65-74
Article [2023-03-07]
The manuscript presents the software implementation of Pspise-based models in the Python programming language. To demonstrate the model transformation process, examples of electrical circuits that present current and voltage resonance are considered. The implementation experiments were conducted based on models implemented in LTspice. Simulation results using Python are obtained that are similar to those from other software environments specialized for modelling electrical and electronic circuits.
Stoyan Popov, Nikolay Hinov. Software implementation of PSPISE-based models in the Python programming language. International Journal on Information Technologies and Security, vol.15 , no.3, 2023, pp. 65-74.
Quality assessment in a multi-level control system with discrete response functions
2023, vol.15 , no.3, pp. 57-64
Article [2023-03-06]
The article extends the authors' previous research to the case of discrete response functions. A process consisting of sequential operations is considered. For each operation, you can determine the currently available probability of its error-free (high-quality) execution. By the qualitative performance of the operation, we will understand the achievement of a given level of quality in quantitative proportion to the overall level. The purpose of the article is to build a quality management strategy in which a set of probabilities of quality levels not less than a certain threshold value is achieved, with minimal costs for carrying out appropriate measures. The corresponding optimization problem is presented and a heuristic multistep algorithm for its solution is given.
O. Ja. Kravets, V. E. Bolnokin, P. A. Rahman, I. V. Atlasov, I. A. Aksenov, Yu. V. Redkin, A. A. Zaslavskiy. Quality assessment in a multi-level control system with discrete response functions. International Journal on Information Technologies and Security, vol.15 , no.3, 2023, pp. 57-64.
Applications of digital transformations and simulation modelling in aerospace engineering and security
2023, vol.15 , no.3, pp. 45-56
Article [2023-03-05]
The aim of this experimental research is to present the advantages of advanced methods for digital transformation of objects in order to create accurate engineering models of aerospace objects and radio engineering devices. One of the scientifically applied contributions is expressed in the proposed algorithm for engineering design of a pyramidal horn antenna based on simulation data, realized by 3D modelling techniques for digitalization. The generated results illustrate the correct selection of software products due to their compatibility and capabilities.
Yoana Ivanova. Applications of digital transformations and simulation modelling in aerospace engineering and security. International Journal on Information Technologies and Security, vol.15 , no.3, 2023, pp. 45-56.
Approach in installing and configuring general program monitoring client devise for IPTV monitoring of A1 and Vivacom
2023, vol.15 , no.3, pp. 35-44
Article [2023-03-04]
In the article, we address the issue of automated initialization, installation, and configuration of the General Program Monitoring, version 3 application with minimal human involvement and manipulation. General Program Monitoring is Internet Protocol TV monitoring software built from scratch. It is used to monitor the viewing behaviour of customers of the television operators A1 and Vivacom. The purpose of the article is to present an approach for an automated installation and configuration process. To achieve this goal, we review the design and implementation of the software as well as the client application. The novelty of the approach is realized in a fully automated integration of the monitoring software and the procedures for its installation and configuration on the client device and the network, in the conditions of independence from the architecture of the network infrastructure and other accompanying hardware and software limitations.
Hristo Hristov, Angel Ignatov, Jan Latal. Approach in installing and configuring general program monitoring client devise for IPTV monitoring of A1 and Vivacom. International Journal on Information Technologies and Security, vol.15 , no.3, 2023, pp. 35-44.
Enhancing energy efficiency in a smart home through window-based support vector regression for energy consumption prediction
2023, vol.15 , no.3, pp. 23-32
Article [2023-03-03]
Efficient energy management is greatly facilitated by accurately predicting energy consumption in a smart home, benefiting both consumers and utilities alike. The conventional forecasting techniques rely on pre-trained statistical models built upon extensive historical data, which may experience performance degradation due to the dynamic nature of power load demands. To address this limitation, this study proposes a novel approach employing Window-based Support Vector Regression (WSVR) to accurately estimate energy requirements from a smart grid within a smart home. The dataset utilized for this research is sourced from Pecan Street in Texas, USA. To assess the efficacy of the proposed model, it is compared to several other time series data prediction models, including ARIMA, Holt Winter's, Linear Regression, Support Vector Machine, and Support Vector Regression. The performance of each model is evaluated, and the results are thoroughly examined and discussed.
B.S.E. Zoraida, J. Jasmine Christina Magdalene. Enhancing energy efficiency in a smart home through window-based support vector regression for energy consumption prediction. International Journal on Information Technologies and Security, vol.15 , no.3, 2023, pp. 23-32.