Information Technology Systems Research Articles

Geo-Spatial Technology for Identifying Optimal Well Locations in Kolugala Pahalagama Grama Niladhari Division for Effective Groundwater Management

This study utilized Geographic Information System (GIS) technology to pinpoint optimal locations for establishing wells, addressing the issue of declining water yields in the Kolugala Pahalagama Grama Niladhari Division (GND); a geographically diverse region. The research integrated geospatial data, including geolocations of sample wells, garbage pits and quarterly water level measurements collected through field surveys. Several thematic layers, namely, geology, elevation, slope, drainage density, soil type, and land use types were analysed to delineate groundwater potential zones within the GND. Satti's analysis hierarchy was employed to assign appropriate weights to these factors, reflecting their influence on groundwater recharge and well productivity. Spatial analysis revealed that 9.64% of the area displayed very good groundwater potential, 42.17% had good potential, 39.76% showed moderate potential, and 7.23% exhibited poor potential. The distribution of existing wells was also evaluated, showing that 6% were located in very good groundwater potential zones, 56% in good groundwater potential zones and 38% in moderate groundwater potential zones. Despite this, only 34% of the wells were placed in regions suitable for the establishment of wells, while the majority, 66%, were located in unsuitable areas. Notably, 18 wells displayed lower water levels, likely due to their excessive distance from neig-bouring wells. Further spatial analysis identified 29 hectares as unsuitable and 54 hectares as suitable for the future establishment of wells. These findings underscore the significance of geographic factors in the placement of wells, emphasising the need for strategic planning to ensure that wells are sited in areas with high groundwater potential, thus improving long-term water yield sustain-ability in the region.

ВИКОРИСТАННЯ ЕЛЕКТРОННИХ СИСТЕМ ДОКУМЕНТООБІГУ ТА ЗВІТНОСТІ ЛОГІСТИЧНИМИ КОМПАНІЯМИ УКРАЇНИ

The article explores the possibilities and ways of using information technologies for document management and electronic reporting at logistics enterprises. Theoretical approaches to understanding the goals and tasks of logistics information systems in transport technologies have been considered. The main information technology systems that change the logistics industry in modern conditions have been characterized, namely: RPA; chat bots; visualization; Artificial Intelligence; predictive analytics. The electronic technologies used for information provision in Ukrainian practice, the IT-Enterprise ERP system of JSC ‘Ukrposhta’ and the CRM system of the company ‘Epicentr K’ have been analyzed. Their characteristics and advantages of use have been defined. It have been found that the basis of the functional component of the modern information system is a single module of operations between the links of the logistics system, which determines the relationship between the functional divisions of the company (in terms of the implementation of logistics functions), intermediate links and consumers of the company’s products. The implementation of a logistics information system in the work of a logistics enterprise makes it possible: - to increase the efficiency of its work, achieve a high level of service for customers and ensure effective control; - to ensure a modern approach to the management of implementation processes and the organization of various types of events; - to monitor the efficiency of commercial operations; - to conduct an analysis of the profitability of the activity; - to increase the effectiveness of price policy, etc. The problems of the introduction of electronic document flow and reporting systems in Ukraine have been noted: - the problem of interoperability in electronic document flow; - lack of clear standards and requirements for electronic reporting, companies may hesitate to switch to this type of reporting; – constant changes in legislation and requirements can create difficulties for enterprises in implementing stable electronic reporting systems; - inconsistency of electronic reporting formats with global ones; high implementation costs; - concerns about data privacy and security can deter companies from switching to electronic reporting, especially when the security of information on the network is at stake.

Assessing Land Use Ecological-Social-Production Functions and Interrelationships from the Perspective of Multifunctional Landscape in a Transitional Zone between Qinghai-Tibet Plateau and Loess Plateau

Investigating the evolution and drivers of multifunctional land use is essential for sustainable land management and regional biological conservation. This research focuses on the Hehuang Valley, where we developed an “ecological-social-production” evaluation system for assessing land use multifunctionality from the perspective of multifunctional landscape. Leveraging Geographic Information System technologies, we conducted a quantitative analysis of spatiotemporal variations in multifunctional land use across the valley in recently twenty years. Correlation coefficients were employed to identify trade-offs and synergies among various land use functions. Additionally, geographical detector and grey relational analysis models were utilized to pinpoint the factors influencing spatiotemporal changes in land use functions during the specified period. The results showed that: (1) During the period, the overall multifunctionality of land use in the Hehuang Valley exhibited an increasing trend. The economic production function of the land showed the highest growth, while the ecological and social functions showed lower growth. (2) In most areas of the Hehuang Valley, there was a positive correlation between social and economic production functions and a negative correlation between social and ecological functions, as well as between economic production and ecological functions. (3) Natural conditions were the main factors of spatial variation of land use comprehensive functions, but human factors, including land use intensity and the rate of farmland conversion to non-agricultural uses, were the primary drivers of temporal changes in multifunctional land use. The findings provide valuable references and scientific support for policymakers in optimizing land use and multifunctional landscape conservation.

Mapping new psychoactive substances: Leveraging GIS technology for advanced global surveillance and policy support

The escalating challenge of New Psychoactive Substances (NPS) necessitates enhanced global monitoring and analysis capabilities. This study introduces an advanced interactive visualization tool that employs Geographic Information System (GIS) technologies to improve the functionality of the UNODC's Early Warning Advisory. The tool enables dynamic observation and analysis of NPS's geographical and temporal distribution, thereby facilitating a comprehensive understanding of their public health impacts. By incorporating detailed choropleth maps and annual and cumulative bar charts, the tool allows policymakers and researchers to visually track and analyze trends in NPS usage and control efforts across different regions. The results demonstrate the tool's effectiveness in providing actionable insights, which support the strategic development of public health policies and interventions to curb the global rise in NPS usage. This initiative illustrates the essential role of digital tools in enhancing public health strategies and responses to emerging drug trends. This rising challenge underscores the urgent need for innovative solutions in monitoring drug trends, a theme explored in this paper. The web tool is available at https://nps-vis.cmdm.tw, and the code is available at https://github.com/CMDM-Lab/nps-vis.

Sustainable Spatial Distribution and Determinants of Key Rural Tourism Villages in China: Promoting Balanced Regional Development

Understanding the spatial distribution and sustainable development of rural tourism is essential for promoting balanced regional growth and formulating optimized policy strategies. This study aims to provide insights into sustainable development and policy optimization. Utilizing geographic information system technology, dominance analysis, and Geodetector statistical methods, this research offers a comprehensive examination of the spatial patterns and determinants of these distributions. The findings reveal significant regional disparities and clustering, with a higher concentration of key villages in economically developed eastern and central regions and fewer in the less developed western regions. The dominance analysis highlights that provinces such as Zhejiang, Shandong, and Beijing demonstrate strong advantages across multiple dimensions, including ecological environment, economic development, tourism infrastructure, transportation accessibility, policy support, and social development. Conversely, regions such as Ningxia, Qinghai, and Tibet exhibit lower dominance scores, indicating challenges in rural tourism development due to limited resources and infrastructure. Key influencing factors include forest coverage, GDP per capita, the number of star-rated hotels, transportation network density, policy initiatives, and urbanization rates. The results underscore the importance of a multi-dimensional approach to enhance rural tourism competitiveness and suggest targeted strategies for underperforming regions. This study contributes to advancing the theoretical framework of sustainable rural tourism and provides actionable insights for policymakers to foster balanced regional development, ecological conservation, and community-centered tourism practices.

ADVANCING INFORMATION TECHNOLOGY WITH IMMUNOLOGICAL COMPUTING – SOFT COMPUTING TECHNIQUES FOR ADAPTIVE AND ROBUST SYSTEMS

The field of Information Technology (IT) is evolving rapidly, and with this growth comes the need for systems that are both adaptive and robust. Biological systems, especially the human immune system, demonstrate remarkable adaptability and resilience, inspiring the development of Immunological Computing (IC). This paper explores the application of immunological principles in Soft Computing techniques to create systems capable of responding to dynamic environments. Current IT systems often face challenges such as handling unpredictable changes, scalability, and security threats. Traditional computing approaches struggle to address these issues efficiently due to their rigid structures and limited adaptability. Immunological Computing, inspired by the immune system’s ability to learn, remember, and adapt, offers a promising solution. The proposed method integrates immune system mechanisms like clonal selection, immune memory, and self/non-self-recognition into computational models. These models are coupled with soft computing techniques such as fuzzy logic, genetic algorithms, and neural networks, enhancing the system’s ability to adapt to changing environments and uncertainties. In simulated tests, this approach demonstrated a significant improvement in robustness and adaptability compared to traditional IT systems. For instance, in a cybersecurity application, the immunological-based system detected and neutralized 94.6% of threats, a notable improvement over the 82.3% detected by conventional systems. Similarly, in a resource optimization scenario, the system adapted to dynamic workloads with an efficiency increase of 15% compared to static systems.

Edy App: Earthquake Mitigation Innovation Using GIS for Disaster Response in Pariaman, Indonesia

Pariaman City, located along the Semangko fault line and the subduction zone of the Indo-Australian and Eurasian plates, is highly vulnerable to earthquakes and tsunamis. The region's susceptibility to large earthquakes, followed by vertical deformations, highlights the need for effective disaster mitigation. In response, this study proposes the development of the Earthquake Buddy Application (EDY App), designed to assist with earthquake mitigation efforts. The EDY App leverages Geographic Information System (GIS) technology to map earthquake-prone areas, provide early warnings, suggest evacuation routes and Temporary Evacuation Sites (TES), and facilitate aid distribution. This Android-based mobile application focuses on four key aspects: education, mitigation, evacuation, and donation. Key features include an Earthquake Vulnerability Map, real-time early warnings, mitigation instructions, TES recommendations with distance and time estimations, emergency contact options, and donation channels. Built with React Native, PHP, and MySQL, and integrated with Google Maps API, the app is designed to be user-friendly and accessible to the public. The EDY App’s contribution to earthquake mitigation lies in its ability to create a disaster-aware community. By offering comprehensive information and support during critical moments, the app can potentially reduce casualties and enhance community preparedness in earthquake-prone regions like Pariaman. Through this innovation, it is expected that residents will be better equipped to respond to natural disasters, promoting a culture of safety and resilience.

Water quality assessment using national Water Quality Index (WQI): a case study of the Song Be River, Bing Duong Province, Vietnam

Abstract The Song Be River is a vital water source in Binh Duong Province, Vietnam, playing a crucial role in supplying water for domestic use and agriculture, as well as supporting local ecosystems. However, due to the recent rapid economic and industrial growth, the river’s water quality has encountered significant challenges, particularly from the improper discharge of untreated wastewater from various sources and activities. This study conducts a comprehensive analysis of the Song Be River’s water quality by employing the Water Quality Index (WQI) in conjunction with Geographic Information System (GIS) technology. Subsequently, several strategies are also proposed to effectively manage and enhance the water quality of the Song Be River. Over the period from March 2023 to March 2024, 52 samples were collected from four monitoring points (SB1, SB2, SB3, and SB4) along the Song Be River, with a frequency of once per month. All analytical parameters (such as NH4 +_N: 0.01–0.61 mg l−1, NO2 −_N: 0.014–0.03 mg l−1, Fe: 0.01–0.81 mg l−1, Chemical Oxygen Demand (COD): 4–26 mg l−1, Dessolved Oxygen (DO): 3.8–6.6 mg l−1, Suspendid Solids (SS): 5–69 mg l−1, Coliform: 1200–4300 MPN/100 ml, Total phosphorous: 0.01–0.08 mg l−1 and Total nitrogen: 1.16–4.5 mg l−1) fell within the permissible limits according to the Vietnamese National Standards. Furthermore, the WQI ranged from 73 to 100, indicating that the water quality of The Song Be River is good and suitable for domestic use.

Cyber Fraud, Causes and Its Effect on Money Deposit Banks

The study examined cyber fraud, causes and its effect on money deposit banks (DMB) in Nigeria: a study of Zenith Bank. The main objective is to examine electronic frauds, causes and its challenges in the banking sector. The study is hinged on two hypotheses; 49 branches; sample of 557 staff. Structured questionnaire was used to capture the response of the bank staff and it was analyzed using statistical package for social science version 27 (SPSS). Descriptive statistics and multiple regression were employed in the data analysis. Among the findings were accounting fraud by bank staff, identity theft, money laundering, phishing, pharming, computer virus, lack of oversight function,lack of standards, financial loss, absence of national central control, lack of credible infrastructure, porous internet, lack of national functional database, and inadequate awareness by bank customers were the challenges militating the effort towards curbing the cyber fraud in the banking system in Nigeria. The findings also revealed that cybercrime reduced productivity; vulnerability of banks Information and Communication Technology (ICT) systems and security audit. The study recommends adequate antivirus and antimalware software technology and the use of multi-factor authentication, use of biometrics, automatic logout are the solutions identified to curb cybercrimes in banks. The study concluded that the place of security in the cyber space of banks in Nigeria cannot be oversemphasied, therefore necessary measures should be put in place towards mitigating cybercrime in Zenith Bank. Equally, Zenith Bank should employ stringent measures to monitor staff activities especially in the confidentiality of customer information, cyber security audit should be done on regular basis, sensitization of bank customers, and Multifactor authentication, biometrics and automatic log out, and strong firewall should be adopted by Zenith Bank.

Implementation of the Naive Bayes Algorithm on Malaria Data Set Using Rapid Milner

Medical record data can be used as a benchmark and comparison in the health business to ascertain the rate at which a disease is developing in a given area. It would be beneficial, though, if this data could be transformed into useful information, like illness forecasts. Infectious diseases like malaria are common in tropical and subtropical regions. West Sumba Regency is the region with the highest number of malaria cases, and this figure rises year. Of the different Puskesmas labor locations, Lolo Wano Health Center has the largest number of positive cases of malaria. In order to apply information system technology and prevent malaria early, research was done at the Lolo Wano Community Health Center to predict malaria using the Naïve Bayes approach. This is because the Community Health Center does not currently have a malaria prediction system. Six of the 16 features in the patient dataset—a total of 27 patient data—were malaria symptoms. When there are suitable illness indicators, positive predictions are produced using the outcomes of Naïve Bayes computations. Before the patient proceeds with a direct medical evaluation, these anticipated results may be utilized as a provisional approximation. Naïve Bayes, Center, Prediction, Malaria

Hydrogeological mapping of fracture networks using earth observation data to improve rainfall–runoff modeling in arid mountains, Saudi Arabia

Abstract Rainfall–runoff modeling is essential for the hydrological analysis of basins; however, the traditional modeling approach does not incorporate geological features such as fractures and fissures in the modeling task. These features are significant in the water loss during a rainstorm, which should be incorporated to obtain realistic rainfall–runoff results. A novel approach is presented here in to quantify the geological features and link them to the curve number (CN) method. The proposed methodology has not been applied in the literature. This approach is validated on five gauged basins, namely, Yiba, Al Lith, Liyya, Habawnah, and Tabalah, in the southwest part of Saudi Arabia. Four major stages are conducted. The first stage is the extraction of the geological lineaments using remote sensing and geographical information system technology; the second stage is estimating CN from rainfall–runoff data; the third stage is developing a relationship between CN and lineament density (LD); and the final stage is evaluating the developed equations on hydrological response. The least-squares method is employed to minimize the difference between observed and predicted runoff and determine the optimum range of CN. The research provides a comprehensive understanding of hydrological processes in fractured geologic systems and explores the influence of fractures on curve number. This study identifies two major lineament trends aligned with the Arabian trend direction, namely, north-northwest (NNW)–south-southeast (SSE) and north-northeast (NNE)–south-southwest (SSW). Furthermore, a moderate inverse correlation is established between LD and CN, highlighting the significance of geologic fractures on the hydrological response. The findings of this study provide insight into how the geological fissures in the mountainous region affected the rainfall–runoff response that leads to a low value of CN due to the water loss in the fissures and faults. As a result, this study clearly demonstrates the importance of the geological structures on rainfall–runoff responses.

Evaluating the impact of risk management and risk-based internal audit on fraud detection in local governments

One of the leading indicators for improving fraud detection capability is the evaluation of the implementation of risk management and risk-based internal audit and information technology systems. This study aims to evaluate how risk management and risk-based internal audits influence fraud detection capabilities in local government when integrated with information technology systems. SPSS 26 was utilized for data analysis. The paper uses a quantitative approach, collecting primary data with questionnaires distributed among 200 auditors and 70 supervisors across four districts in West Java. A purposive sampling approach based on self-selection was used. The findings show that the ability to detect fraud is significantly and positively influenced by the implementation of a risk-based internal audit (sig 0.000 < 0.05) and risk management process (sig 0.000 < 0.05). On the other hand, the risk management framework (sig 0.107 > 0.05) has a negative and insignificant effect on improving fraud detection capability. In addition, the relationships between the risk management process (sig 0.006 < 0.05) and fraud detection capability were found to be moderated by information technology systems. However, information technology systems are unable to moderate the relationship between risk-based internal audit (sig 0.563 > 0.05) and risk management framework (sig 0.115 > 0.05) on fraud detection capability. Therefore, risk management and risk-based internal audits are able to detect fraud, and information technology systems can strengthen the risk management process with the ability to detect fraud. AcknowledgmentThe authors would like to thank the University of North Sumatra, especially the Research Institute, for its support and the Ministry of Education and Research through the Directorate of Research, Technology, and Community Service program for providing intellectual assistance and funding for this project in the PMDSU grant (number: 91/UN5.4.10.S/PPM/KP-DRTPM/2024).

Dampak Penggunaan Teknologi Informasi dalam Peningkatan Akurasi Laporan Keuangan pada Perusahaan Jasa di Indonesia

This study investigates the impact of information technology (IT) use on the accuracy of financial statements in service companies in Indonesia. Utilizing a quantitative research approach, data were collected from 50 service companies through a structured questionnaire, with responses measured on a Likert scale (1-5). The data were analyzed using SPSS version 26. Results indicate a significant positive relationship between IT use and financial statement accuracy. The correlation analysis revealed a strong association, while regression analysis confirmed that IT use is a significant predictor of financial statement accuracy. The findings underscore the importance of IT adoption in improving financial reporting accuracy, suggesting that service companies that invest in IT systems can significantly enhance the reliability and transparency of their financial data. Practical implications include the need for service companies to increase IT integration and employee training to capitalize on the benefits of IT in financial management fully.

Leveraging SWOT Analysis in IS/IT Strategy for Enhancing Hospital Quality

The research conducted at the Datu Sanggul Hospital in Rantau focuses on developing a strategic plan for enhancing the quality of healthcare services through Information System (IS) and Information Technology (IT) implementation. The study aims to address the challenges faced by the hospital in optimizing its Management Information System and Medical Record (SIM & RM) unit. By utilizing the Ward & Peppard framework, the research progresses through stages including problem formulation, data collection, and strategy formulation. Through interviews, focus group discussions, and data analysis, the current business strategies and IT infrastructure are evaluated. External factors such as PEST analysis and Five Forces analysis are also considered to understand the hospital's position in the industry. The findings from these analyses serve as inputs for the SWOT analysis, which helps in identifying the hospital's current standing and areas for improvement. The study further delves into developing IS business strategies and IT roadmap planning based on critical success factors and business needs. By aligning IS/IT strategies with business goals, the research aims to provide recommendations for enhancing the hospital's information system infrastructure and management practices.

Analysis of the Distribution and Influencing Factors of Antibiotic Partition Coefficients in the Fenhe River Basin

Affected by point and non-point source pollution, the Fenhe River Basin faces significant environmental challenges. This study aimed to analyze the distribution characteristics and influencing factors of antibiotics in the water and sediments of the Fenhe River Basin. Samples were collected from 23 sites within the basin, and 26 antibiotics from five different classes were detected and analyzed using high-performance liquid chromatography–tandem mass spectrometry (HPLC-MS/MS). The water–sediment partition coefficient (Kp) was calculated, and spatial analysis was conducted using geographic information system (GIS) technology. The results showed that 25 antibiotics were detected in the water, with concentrations ranging from 130 to 1615 ng/L, and 17 antibiotics were detected in the sediments, with concentrations ranging from 121 to 426 μg/kg. For quinolones (QNs), except for ofloxacin, all others could be calculated with overall high values of Kp ranging from 692 to 16,106 L/kg. The Kp values for QNs were generally higher in the midstream, with considerable point source pollution from industries and non-point source pollution from developed agriculture. The distribution of Kp is closely associated with risk. This study found that the Kp values of the antibiotics were influenced by various factors such as temperature, water flow, and the physicochemical properties of sediments. Correlation analysis revealed significant relationships between Kp and parameters such as river width, water depth, water quality (total nitrogen, total phosphorus, and chemical oxygen demand), and sediment pH and clay content.

Groundwater pollution by nitrate and salinization in Morocco: a comprehensive review

ABSTRACT Groundwater plays a critical role in supporting a wide range of human activities. However, it faces substantial challenges due to the growing demand for water and reduced precipitation resulting from climate change. Various studies have revealed the high vulnerability of Morocco's groundwater to contamination from multiple anthropogenic sources. This review focuses on assessing nitrate and salinization pollution in Moroccan groundwater, with a specific emphasis on the Gharb region. A comprehensive analysis of research conducted from 2010 to 2023, using reputable databases, underscores the pressing need to address groundwater pollution in Morocco, especially in the Gharb region. The results highlight the significant challenges faced by Morocco's groundwater resources. Agricultural practices and poorly designed irrigation systems are identified as primary contributors to nitrate contamination. Additionally, salinization in the region is influenced by factors such as seawater intrusion, hydrogeological characteristics, and irrigation practices. An integrated approach, combining laboratory analysis, remote sensing, geospatial tools, modeling, and geographic information systems technology, has proven to be effective in addressing the complex issues of assessing groundwater pollution due to nitrate and salinization. This survey presents a comprehensive framework for future research and decision-making processes aimed at achieving sustainable water resource management, preserving the groundwater heritage and safeguarding public health.

Estimating the extent of water erosion in the Wadi Al-Rumaitha Basin, northeast of Al-Muthanna Governorate

The Wadi Rumaitha Basin is located astronomically between two latitudes (30° 39' 18" - 30° 29' 56") north, between two longitudes (45° 52' 4" - 45° 45' 10") east, with an area of (68.5) km2, located in the southern part of Iraq within the administrative borders of Al-Muthanna Governorate, which is characterized by a dry climate. The research aims to study and estimate the extent of water erosion in the Wadi Rumaitha basin, detect risks and conditions that affect the properties and quality of soil and land uses in the region, highlighting the role of natural characteristics affecting its activity, different types of water erosion prevail in the study area, between rain erosion, stream erosion, and gully erosion. The locations and areas of the basins of the river network and the stream, gully, and rain erosion network were determined, by adopting several criteria, including the Fournier equation to measure rain erosion, and the Bergsma 1982 equation (to measure the degree of stream and gully erosion, then, modeling the areas of spread of each of them, by the use of geographic information systems technology. It became clear through the research that the Fournier index in the stations of the study area reached (19.87, 21.66, 16.53), respectively, this indicates that the Wadi Rumaitha basin area falls within the range of weak rain erosion, while funicidal erosion included (4) cases limited to the range of high and very severe fluid erosion, gully erosion included (7) areas confined between the (very light and very high) ranges, and their geographical distribution varies in the basin lands.

ENGINEERING-GEODESIC EQUIPMENT OF THE TERRITORY USED BY USING GEOINFORMATION SYSTEMS

The purpose of the scientific article is the implementation of an important part of the agricultural spatial data infrastructure, planning of the domestic economy using geographic information systems (GIS). Taking this direction into account, the work examines the following main elements of designing the domestic economy: location of settlements and economic centers; design of internal roads; placement of external engineering networks; use of types of land reclamation for agricultural purposes; allocation of land for the construction of roads of various categories of local importance; placement of agricultural machinery in land use; conduct a technical and economic analysis of the effective use of road junctions and reclamation works as an engineering structure, as well as systematize the engineering and geodetic process necessary to implement these studies based on GIS technologies. With the help of geographic information systems technologies, it will be necessary to determine the following directions of engineering and geodetic equipment of the territory: Information about road transport and roads, Roads in plan, longitudinal and horizontal profiles, Driving through bodies of water and bodies of water on the road, Road surfaces, Road surveys and design of agricultural roads, The basic principle of organizing the construction, maintenance and repair of agricultural roads.

Evaluating cryptographic vulnerabilities created by quantum computing in industrial control systems

AbstractQuantum computing is expected to eventually be able to break the public‐key cryptography algorithms currently used throughout information technology (IT) infrastructure, undermining foundational tools used to maintain information security across the country's critical infrastructure. As these systems converge, the security posture of operational technology (OT) systems has to adapt to a new threat landscape and adopt some of the same security controls as those used in enterprise IT, especially cryptographic controls that rely on public‐key cryptography, which are ubiquitous in enterprise IT systems. Operators and manufacturers of industrial control systems (ICSs) and OT systems will need to understand and address the unique ways in which these systems will be vulnerable to adversaries equipped with quantum computers. We assessed quantum computing–facilitated cryptographic vulnerabilities in ICSs and OT systems to identify the issues in need of the most‐urgent attention from ICS and OT owners, operators, and manufacturers. Employing a modified consequence‐driven, cyber‐informed engineering process informed by literature review and analysis, we mapped protocols using or enabling cryptographic protections across common ICS network topologies as part of an assessment of how an attacker could cause harm, especially damaging physical consequences resulting from manipulation of cyber–physical systems, through the cryptographic compromise of ICS and OT networks and components. Our evaluation of identified and ranked risks to related control systems was also informed by relevant literature on ICS risk assessment and mitigation, cyber harms, and historical attacks on critical infrastructure. Using our analysis, we assessed the overall difficulty in mitigating risk from each of the identified vulnerability archetypes. The resulting analysis identified vulnerabilities associated with code‐signing processes as the highest priority for attention when updating systems for a postquantum future. This risk was followed by vulnerabilities associated with forged certificates for identification and vulnerabilities associated with forged session keys, identified as lower priorities but still of concern. Informed by our findings, we offer recommendations related to the protection of these vulnerabilities and the improvement of ICS security in developed systems.

Reliability indicators management of thermoelectric systems for thermal modes under limited power consumption

The temperature dependence of electronic components has a significant impact on the technology and design methods of information systems. Thermal management systems are an essential component of on-board systems, for which the most important requirements are reliability, weight, dimensions and power consumption. The thermoelectric method of heat extraction is one of the most promising for products with localized and unevenly distributed heat-loaded elements. The requirement to improve system reliability while increasing dynamics and reducing weight is a fundamental problem, its solution is relevant, and finding compromise solutions between reliability and dynamics is the goal of research. The paper shows that the main significant indicators of thermoelectric systems for ensuring thermal conditions are reliability, dynamics, power consumption and controllability. A mathematical model of a thermal management system consisting of: a heat-loaded object - a thermoelectric cooler - a device for discharging heat into the environment. The determining relationship between the intensity of failures and the geometry of thermocouples and current modes, dynamics and energy indicators and physical properties of the thermocouple material, and the possibility of finding compromises between reliability indicators and cooler dynamics are revealed. The expediency of optimized management of the executive body by a set of interrelated basic energy, time, reliability indicators and the areas of their preferred use is substantiated. The practical value of the research lies in the intensification of heat exchange of the heat sink with the external environment, reduction of the temperature difference, which makes it possible to reduce the intensity of failures and dynamic characteristics of thermoelectric systems for ensuring thermal conditions.