Wyniki wyszukiwania - BazTech

1

HAIS-IDS: A hybrid artificial immune system model for intrusion detection in IoT

Soni Vineeta, Bhatt Devershi Pallavi, Yadav Narendra Singh

Bulletin of the Polish Academy of Sciences. Technical Sciences

|

2025

|

Vol. 73, nr 1

art. no. e152211

EN

The application of the Internet of Things (IoT) is increasing exponentially, the dynamic data flow and distributive operation over low-resource devices pose a huge threat to sensitive human data. This paper introduces an artificial immune system (AIS) based approach to intrusion detection in IoT network ecosystems. The proposed approach implements dual-layered AIS; which is robust to zero-day attacks and designed to adapt new types of attack classes in the form of antibodies. In this paper, a hybrid method has been presented which uses hybrid of clonal selection using variational auto-encoders as innate immune layer and apaptive dentritic model for identifying intrusions over IoT specific datasets. Moreover we present extensive empirical analysis over six IoT network benchmark datasets for semi-supervised multi-class classification task and obtain superior performance compared to five state-of-the-art baselines. Finally, VC-ADIS achieves 99.83% accuracy over MQTT-set dataset.

2

Behind the wheel: understanding the risks for truck drivers in the era of the internet of things and advancements in autonomous vehicles

Benallou Imane, Azmani Abdelah, Azmani Monir

Zeszyty Naukowe. Transport / Politechnika Śląska

|

2024

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z. 124

25--36

EN

Freight transportation is a crucial part of the global economy, but it encounters several complex challenges, with truck drivers at the centre of these issues. These professionals, responsible for transporting goods over long distances, often work in challenging conditions, exposing them to a range of risks, including physical, psychological, and chemical hazards. These risks make the profession less appealing to younger drivers, leading to an ageing workforce and worsening the driver shortage crisis in the road transport sector. This article aims to identify the various risks faced by truck drivers and examine their negative impacts on several critical aspects, including company image, service quality, financial implications, and road safety. Additionally, the article explores the transformative impact of the Internet of Things (IoT) and autonomous vehicles (AV) on the truck driving profession.

3

IoT communication security: challenges and solutions

Kuraś Paweł, Organiściak Patryk, Kowal Bartosz, Vanivska Veronika, Demidowski Krzysztof, Smalara Krzysztof, Krawiec Piotr

Zeszyty Naukowe SGSP / Szkoła Główna Służby Pożarniczej

|

2024

|

Nr 89 (tom 2)

69--90

EN

This paper investigates the obstacles and resolutions concerning the security of communication in the Internet of Things (IoT). It commences with a discussion of the remarkable proliferation of internet-connected devices, ranging from personal computers to mobile devices, and now to the era of IoT and IoE. The paper illuminates the impact of IoT on network addresses, leading to the depletion of IPv4 addresses and the necessity for address translation services. Subsequently, the article delves into the risks confronted by IoT systems, encompassing physical and digital assaults, unauthorized access, system failures, as well as diverse forms of malicious software. The significance of IoT security in industrial and agricultural systems is underscored. Finally, the paper concludes by presenting strategies to combat these risks, including antivirus countermeasures, safeguards against Distributed Denial-of-Service (DDoS) attacks, and security considerations in IoT systems for agriculture. In essence, this paper offers valuable insights into the challenges and solutions associated with ensuring the security of IoT communication.

4

ESWSE - Elektroniczny System Wspomagania Skutecznej Ewakuacji

Walendziuk Wojciech, Słowik Maciej, Jańczak Dariusz, Konopko Krzysztof, Zankiewicz Andrzej, Sadowski Maciej, Gulewicz Małgorzata, Klimowicz Marek

Wiadomości Elektrotechniczne

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2024

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R. 92, nr 1

8--12

PL

W artykule przedstawiono koncepcję systemu nadzoru ewakuacji osób z budynku użyteczności publicznej. Celem wspomnianego rozwiązania technicznego jest zapewnienie sprawnego przeprowadzania ewakuacji osób z miejsca zagrożenia. Do poprawnego działania systemu wymagane jest pozyskiwanie w czasie rzeczywistym lokalizacji ewakuowanych osób, co uzyskano dzięki technologii Bluetooth. W tym przypadku oszacowanie lokalizacji odbywa się na podstawie pomiaru siły sygnału transmitowanego z nadajników, które mają formę opasek noszonych na nadgarstku. Dzięki zastosowanym czujnikom, opaski monitorują i przekazują informacje o funkcjach życiowych osób objętych opieką.

EN

This article presents the concept of a system for supervising the evacuation of people from a public building. The aforementioned technical solution aims to ensure the smooth evacuation of people from the place of danger. For the system to function appropriately, real-time acquisition of the location of evacuees is required, which was achieved through Bluetooth technology. In this case, the location is estimated by measuring the strength of the signal transmitted from the transmitters, which take the form of wristbands worn on the wrist. Thanks to the sensors used, the wristbands monitor and transmit information about the vital functions of the care recipients.

5

Application of condition-based monitoring in enhancing mechanical system reliability and proactive structural damage detection

Djidrov Marjan Z.

Technical Sciences / University of Warmia and Mazury in Olsztyn

|

2024

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Vol. 27

377--393

EN

Technologies, processes, and systems are not immune to failure, which is why robust monitoring systems are crucial to ensure their continued functionality and safety. An interdisciplinary approach that combines engineering, data science, and material science allows for more comprehensive measurement and analysis, enabling better decision-making and more accurate predictions of performance. The integration of these technologies leads to increased safety, reduced human error, and significant cost savings by preventing costly repairs and downtime. Continuous monitoring helps in avoiding catastrophic failures, allowing for early detection of issues before they escalate. Additionally, it opens opportunities for improving the design of mechanical systems and structures, optimizing the organization of maintenance. By reducing human impact and enhancing safety, these monitoring systems offer a more secure and efficient operation. Furthermore, through advanced predictive analytics, the remaining service life can be estimated, facilitating more effective planning. The development of such smart, intelligent mechanical systems and structures promises a future where maintenance is proactive rather than reactive, creating a safer, more sustainable environment for both operators and systems by leveraging advanced sensors, data analytics, and adaptive technologies for real-time monitoring and damage detection.

6

MANIANA: urządzenie IoT do testowania QoS i QoE aplikacji w sieci domowej

Wanat Dominika, Juszka Dawid, Leszczuk Mikołaj, Janowski Lucjan

Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

|

2024

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nr 4

175--178

PL

Metryki QoS (Quality of Service) w testach aplikacji internetowych dostarczają wielu informacji o zachowaniu danej aplikacji w warunkach niestabilnego połączenia sieciowego. Pomiar ten jest jednak często dokonywany w hermetycznych warunkach laboratoryjnych. Skutkuje to uproszczeniem ich analizy kosztem niepełnego obrazu zachowania i środowiska aplikacji oraz zachowań użytkownika. Aby zaadresować ten problem, opracowane urządzenie nazwane MANIANA (Mobile Appliance for Network Interrupting, Analysis & Notorius Annoyance). Umożliwia ono przeprowadzanie testów aplikacji w sieci domowej użytkownika. Oparte jest ono o platformę Raspberry Pi 4 oraz otwartoźródłowe komponenty, umożliwiające testy aplikacji w sposób bezpieczny, wydajny oraz uniwersalny.

EN

QoS (Quality of Service) metrics obtained during network application testing provide lots of information about applications’ behavior in conditions of unstable network connections. However, obtaining this values is done in a hermetic lab environment. That simplifies its analysis and provides an incomplete picture of applications’ behavior, environment and user behaviour. To address this problem, a device called MANIANA (Mobile Appliance for Network Interrupting, Analysis & Notorius Annoyance) was developed. It allows for conducting application tests in a home environment. The device is made based Raspberry Pi 4 minicomputer and Open Source solution and allows safe, robust and universal testing applications.

7

Framework interfejsu radiowego NB-IoT

Błaszkiewicz Olga, Magiera Jarosław, Olejniczak Alicja, Rajchowski Piotr, Sadowski Jarosław, Stefański Jacek, Cwalina Krzysztof K.

Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

|

2024

|

nr 4

292--296

PL

W niniejszym artykule opisano rezultaty uzyskane w ramach zrealizowanego projektu definiowanego programowo frameworka wąskopasmowego interfejsu radiowego dla urządzeń Internetu Rzeczy. Przedstawiono elementy składowe konfigurowalnego interfejsu radiowego oraz jego charakterystykę eksploatacyjną.

EN

In the article the results obtained in the design of a software-defined framework for a narrowband radio interface for Internet of Things devices are described. The components of the configurable radio interface and its operational characteristics are presented.

8

Efektywność schematu komunikacji liczników mediów w procesie zdalnego odczytu obchodzonego

Łaskarzewski Zbigniew, Grochla Krzysztof

Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

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2024

|

nr 4

221--224

PL

Liczniki mediów coraz częściej wyposażane są w możliwość zdalnego odczytu wskazań. Jest on realizowany w modelu stacjonarnym lub obchodzonym. W modelu obchodzonym najpopularniejszym schematem komunikacji jest periodyczne nadawanie ramek pomiarowych, jednak jak pokazuje analiza w niniejszej pracy, schemat komunikacji oparty na energooszczędnym nasłuchu (próbkowaniu preambuły) jest bardziej energooszczędny, a także wymaga mniej czasu na realizację transmisji. Wskazane także zostały parametry mające wpływ na wybór schematu komunikacji.

EN

Utility meters are increasingly equipped with the ability to remote readouts process. It is implemented in an stationary or walk-by model. In walk-by model, the most popular communication scheme is the periodic transmission of measurement frames, but as the analysis in this work shows, the communication scheme based on low power lis- tening (preamble sampling) is more energy-efficient and also requires less time to complete the transmission. Parameters influencing the choice of communication scheme were also indicated.

9

Potential of advanced technologies for environmental management systems

Sira Mariya

Management Systems in Production Engineering

|

2024

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nr 1 (32)

33--44

EN

Environmental management systems (EMS) are essential in promoting sustainable practices and mitigating the adverse effects of human activities on the environment. As technology continues to advance, there is an increas-ing opportunity to utilize advanced technologies to improve environmental management systems. This article examines the potential of different advanced technologies, such as artificial intelligence (AI), blockchain, big data, and the Internet of Things (IoT), within the context of environmental management systems. This article intends to offer valuable insights to researchers, practitioners, and policymakers by examining the potential uses of AI, blockchain, big data, and IoT in environmental management systems. The goal is to demonstrate how these ad-vanced technologies can be leveraged to enhance sustainability, boost environmental performance, and yield favourable environmental results across different sectors and industries.

10

Integrating Six Sigma into an Industry 4.0 System for Enhanced Productivity: A Case Study in CNC Processes

Hien Do Ngoc, Duc Minh Ly, Tuan Tran Duc

Management and Production Engineering Review

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2024

|

Vol. 15, No. 1

44--62

EN

Nowaday, many manufacturing companies are integrating Industry 4.0 technology into their operational processes, particularly those aiming to enhance production operations. However, business decision-makers must remain vigilant about potential risks associated with adopting this technology. These risks include initial financial investments for testing and system installation, managing human resources to operate the new system, and concerns regarding data security. This study proposes designing an Industry 4.0 technology system to augment machining machine operations, leveraging Internet of Things (IoT) devices to facilitate connectivity and data transmission. Additionally, it aims to improve production process monitoring through visual management techniques. The machines under study are semi-automatic and lack operational digitization or expansion capacity. Through research on integrating low-cost Industry 4.0 technology into the production process, this study has achieved an annual reduction in production costs by $9593. Moreover, the defect rate for product length dimensions has plummeted from 54.90% per month to zero defects. The study employs the DMAIC method (Define-Measure-Analysis-Improve-Control) cycle within the Six Sigma methodology to investigate and apply low-cost Industry 4.0 technology to production process enhancement. This combined approach can be customized and applied to various business process improvement models, further enhancing the operation of machining machines originally equipped with Industry 3.0 technology.

11

Iterative decoding of short low-density parity-check Codes based on differential evolution

Shtompel Mykola, Prykhodko Sergii

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska

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2024

|

T. 14, nr 2

62--65

EN

To ensure a given quality of service in the networks of the Internet of Things, short error-correcting codes are used, in particular, low-density parity-check codes. The paper proposes an approach for decoding these codes based on the joint application of belief propagation and differential evolution procedures. It is shown that in order to reduce the search area of error vectors based on differential evolution, it is necessary to use the least reliable basis of the parity-check matrix. Flowchart and pseudocode of the combined decoding algorithm of short low-density parity-check codes were presented. The simulation results showed that the proposed decoding method provides an additional gain from encoding compared to the classical decoding method. The application of the presented iterative decoding method of short low-density parity-check codes will improve the efficiency of data transmission in the infrastructure of the Internet of Things.

PL

Aby zapewnić określoną jakość usług w sieciach Internetu Rzeczy, stosowane są krótkie kody korekcji błędów, w szczególności kody kontroli parzystości o niskiej gęstości. W artykule zaproponowano podejście do dekodowania tych kodów oparte na wspólnym zastosowaniu procedur propagacji zaufania i ewolucji różnicowej. Pokazano, że w celu zmniejszenia obszaru wyszukiwania wektorów błędów w oparciu o ewolucję różnicową, konieczne jest użycie najmniej wiarygodnej podstawy macierzy kontroli parzystości. Przedstawiono schemat blokowy i pseudokod połączonego algorytmu dekodowania krótkich kodów kontroli parzystości o niskiej gęstości. Wyniki symulacji wykazały, że proponowana metoda dekodowania zapewnia dodatkowy zysk z kodowania w porównaniu z klasyczną metodą dekodowania. Zastosowanie przedstawionej iteracyjnej metody dekodowania krótkich kodów o niskiej gęstości parzystości poprawi wydajność transmisji danych w infrastrukturze Internetu Rzeczy.

12

Iot based ECG: hybrid cnn-bilstm approach for myocardial infarction classification

Makhir Abdelmalek, Alaoui My Hachem El Yousfi, Bellarbi Larbi, Jilbab Abdelilah

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska

|

2024

|

T. 14, nr 3

76--80

EN

Cardiovascular disease such as ischemic heart disease and stroke are the most dangerous diseases in the WHO stats. Myocardial Infarction (MI), an ischemic disease of the heart, occurs due to a sudden blockage in the coronary arteries that supply blood to the heart causing a lack of oxygen and nutrients. The MI patient needs continuous monitoring using electrocardiography, the latter is always at risk of developing complications such as arrhythmias. As a solution, we proposed an internet of things (IoT) based ECG system for monitoring, the application layer was reserved for the detection of MI and arrhythmias using artificial intelligence so that the patients can keep being monitored even outside health facilities. For this purpose, this paper proposed a hybrid Convolutional Neural Network (CNN) – Bidirectional Long Short-Term Memory (BiLSTM) approach to classify ECG signals and evaluates its performance by using raw and preprocessed data, and comparing the results to related studies. Two datasets have been used in this classification. The results were promising, the model has scored 99.00% accuracy on raw data classifying 4 classes, and 99.73% accuracy on a larger preprocessed data for 3 classes classification. The proposed model is suitable to serve in our monitoring task.

PL

Choroby układu krążenia, takie jak choroba niedokrwienna serca i udar mózgu, to najniebezpieczniejsze choroby według statystyk WHO. Zawał mięśnia sercowego (MI), choroba niedokrwienna serca, występuje w wyniku nagłego zablokowania tętnic wieńcowych dostarczających krew do serca, powodując brak tlenu i składników odżywczych. Pacjent po zawale serca wymaga ciągłego monitorowania za pomocą elektrokardiografii, gdyż zawsze istnieje ryzyko wystąpienia powikłań w postaci arytmii. Jako rozwiązanie zaproponowano system monitorowania EKG oparty na Internecie rzeczy (IoT), którego warstwa aplikacyjna została zarezerwowana do wykrywania zawału serca i arytmii z wykorzystaniem sztucznej inteligencji, dzięki czemu pacjenci mogą być monitorowani nawet poza placówkami służby zdrowia. W tym celu w artykule zaproponowano hybrydowe podejście oparte na konwolucyjnej sieci neuronowej (CNN) i dwukierunkowej długiej pamięci krótkotrwałej (BiLSTM) do klasyfikacji sygnałów EKG i oceny ich działania przy użyciu surowych i wstępnie przetworzonych danych oraz porównaniu wyników z powiązanymi badaniami. W tej klasyfikacji wykorzystano dwa zbiory danych. Wyniki były obiecujące, model uzyskał 99,00% dokładności w przypadku surowych danych klasyfikujących 4 klasy i 99,73% dokładności w przypadku większych, wstępnie przetworzonych danych w przypadku klasyfikacji 3 klasy. Zaproponowany model nadaje się do realizacji postawionego zadania monitorowania.

13

Data Dissemination Techniques for Internet of Things Applications: Research Challenges and Opportunities

Lenando Halikul bin, Albert Sanjay Charles, Alrfaay Mohamad

Foundations of Computing and Decision Sciences

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2024

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Vol. 49, No. 4

323--353

EN

The escalating prevalence of Internet of Things (IoT) devices has necessitated efficient data dissemination methods to optimize the unprecedented volume of generated data. The rapid expansion of IoT devices and the resulting surge in data creation underscore the necessity for advanced data dissemination methods. A noticeable gap in existing literature prompts a critical review, specifically addressing challenges and opportunities in IoT data dissemination techniques. This paper aims to categorize and analyze existing data dissemination techniques, highlighting their strengths and limitations. Additionally, it explores emerging opportunities and innovations that can shape the future of IoT applications. Furthermore, the discussion addresses challenges in data dissemination and explores innovative solutions, including machine learning, AI-based strategies, edge, and fog computing, blockchain integration, and advanced 5G/6G networks. The hope is that this study sets the stage for innovative ideas contributing to the efficiency and robustness of IoT applications, informing future endeavours in this dynamic and evolving landscape.

14

Economic impact of IOT and conventional data breaches: cost analysis and statistical trends

Harkai Alisa, Ciurea Cristian Eugen

Control and Cybernetics

|

2024

|

Vol. 53, No. 2

385--404

EN

Rapid spread and effective integration of Internet of Things (IoT) devices across various sectors has brought unparalleled connectivity and efficiency, but has also introduced amplified vulnerabilities with respect to data breaches. This article offers an in-depth examination of the economic impacts of IoT data breaches, focusing on the associated costs and emerging statistical trends. Through comprehensive analysis, we explore the direct and indirect financial burdens, including immediate response expenses, long-term reputational damage, legal liabilities, and regulatory penalties. Utilizing recent case studies and statistical data, we highlight the economic magnitude of IoT breaches and the factors that amplify their costs. Our research emphasizes the critical need for enhanced IoT security measures and for strategic risk management to protect organizations from substantial financial losses. The findings may serve as a crucial resource for businesses, policymakers, and cybersecurity professionals, advocating for proactive steps to fortify IoT ecosystems against the escalating threat of data breaches.

15

The Internet of Things and AI-based optimization within the Industry 4.0 paradigm

Mikołajewski Dariusz, Czerniak Jacek M., Piechowiak Maciej, Węgrzyn-Wolska Katarzyna, Kacprzyk Janusz

Bulletin of the Polish Academy of Sciences. Technical Sciences

|

2024

|

Vol. 72, nr 1

art. no. e147346

EN

By reviewing the current state of the art, this paper opens a Special Section titled “The Internet of Things and AI-driven optimization in the Industry 4.0 paradigm”. The topics of this section are part of the broader issues of integration of IoT devices, cloud computing, big data analytics, and artificial intelligence to optimize industrial processes and increase efficiency. It also focuses on how to use modern methods (i.e. computerization, robotization, automation, machine learning, new business models, etc.) to integrate the entire manufacturing industry around current and future economic and social goals. The article presents the state of knowledge on the use of the Internet of Things and optimization based on artificial intelligence within the Industry 4.0 paradigm. The authors review the previous and current state of knowledge in this field and describe known opportunities, limitations, directions for further research, and industrial applications of the most promising ideas and technologies, considering technological, economic, and social opportunities.

16

Secure system with security protocol for interactions in healthcare Internet of Things

Szymoniak Sabina

Bulletin of the Polish Academy of Sciences. Technical Sciences

|

2024

|

Vol. 72, nr 5

art. no. e151049

EN

The Internet of Things is a network of connected devices that can communicate and share data over the Internet. These devices often have sensors that collect data for various purposes, such as usage statistics, data processing, or performing specific actions based on the collected data. Also, medical Internet of Things devices are crucial in monitoring critical functions, measuring blood glucose levels, indicating when patients require medicine, and ensuring timely medication delivery. Communication in the Internet of Things is demanding, requiring diverse protocols that address communication security concerns. These protocols must be robust and secure, considering technical factors such as the network objective, energy requirements, and the nature of the communication because they can be exploited. This paper proposes an innovative system with a security protocol that supports and improves communication security in modern Internet of Things networks. The protocol aims to enhance communication safety between interconnected devices for information exchange in medicine or healthcare, ensuring the confidentiality and integrity of sent data and devices. The proposed protocol, tested through formal and automated verification, meets all security goals, including identity verification, anonymity protection, and access revokement. It also protects against man-in-the-middle, modification, replay, and impersonation attacks.

17

Multifunctional clustering based on the LEACH algorithm for edge-cloud continuum ecosystem

Paszkiewicz Andrzej, Ćwikła Cezary, Bolanowski Marek, Ganzha Maria, Paprzycki Marcin, Hodoň Michal

Bulletin of the Polish Academy of Sciences. Technical Sciences

|

2024

|

Vol. 72, nr 1

art. no. e147919

EN

This paper introduces a novel approach to building network cluster structures, based on the modified LEACH algorithm. The proposed solution takes into account the multitasking of the network infrastructure, resulting from various functions performed by individual nodes. Therefore, instead of a single head, dedicated to a given cluster, a set of heads is selected, the number of which corresponds to the number of performed functions. Outcomes of simulations, comparing the classical and the multifunctional approach, are presented. The obtained results confirm that both algorithms deliver similar levels of energy consumption, as well as efficiency in terms of the number of individual nodes discharged.

18

System sensorów do wykrywania i predykcji uszkodzeń układu jezdnego wagonu towarowego taboru kolejowego

Czerwiński Szymon, Kucharek Mariusz, Walas Łukasz, Makowiecki Karol, Wiszniewski Przemysław

Przegląd Elektrotechniczny

|

2023

|

R. 99, nr 7

176--179

PL

W artykule przedstawiono system służący do oceny stanu poszczególnych elementów towarowego taboru kolejowego w sposób zautomatyzowany. System służy do pomiaru kluczowych parametrów układu jezdnego wagonu towarowego taboru kolejowego za pomocą sensorów. Dane pomiarowe przesyłane na serwer pozwalają na detekcję uszkodzeń. Dane pomiarowe, mogą służyć do predykcji stanów awaryjnych co pozwala na wyłączenie uszkodzonego składu z użytkowania zanim spowoduje on znaczne utrudnienia w ruchu kolejowym. System oprócz wymienionych funkcji spełnia również rolę geolokalizatora taboru stosowanego w celu optymalizacji zarządzania składami towarowymi.

EN

The article presents system which is used for evaluation, work conditions of rolling stock elements in automated way. System is used to measure key parameters of rolling stock elements with the use of five types of sensors. Measurement data located on server gives the possibility to detect damage. Measurement data also could be used to predict emergency state what gives possibility to stop and repair some elements of rolling stock and that could improve security of rail traffic. In order to optimize management of rolling stock, system has the functionality of geolocation.

19

IoT system for monitoring sick and disabled

Łukiewicz Konrad

Przegląd Elektrotechniczny

|

2023

|

R. 99, nr 3

181--185

EN

The aim of the study was to build a system for monitoring the ill and disabled people. The construction of the system was based on a microcontroller and a set of sensors that collect data about the patient. A heart disease diagnosis module was developed based on sensor data. Accuracy standards were set in which the system had to operate. The accuracy of the system was tested and compared with designated standards.

PL

Celem było zbudowanie systemu monitorowania chorych i niepełnosprawnych. Budowę systemu oparto o mikrokontroler i zestaw czujników zbierających dane o pacjencie. Opracowano moduł diagnozy choroby serca w oparciu o dane z czujników. Wyznaczono standardy dokładności w jakich musiał działać system. Zbadano dokładność systemu i porównano z wyznaczonymi standardami.

20

Digitalization in the Reverse Supply Chain: A Bibliometric Analysis

Ivanova Tetiana, Shkrobot Marina

LogForum

|

2023

|

Vol. 19, no. 4

683--702

EN

Background: This article analyzes scientific sources on the process of digitalization in the reverse supply chain. Its aim is to comprehensively investigate and analyze the transformative potential of digitalization in the context of the reverse supply chain. By exploring the utilization of digital technologies such as the Internet of Things (IoT), data analytics, artificial intelligence (AI), and blockchain, the study aims to uncover opportunities for enhancing the efficiency, sustainability, and environmental responsibility of reverse supply chain processes. A significant number of studies on this topic have been published in scientific journals such as Sustainability, Business Strategy and the Environment and the International Journal Of Production Economics. The most cited authors were identified, including Gupta and Yu. Among the main countries where such research has been conducted are China, the United States, the United Kingdom, India and Pakistan. Methods: The study included a literature review, evaluation, analysis and mapping, which allowed the authors to identify certain trends. The Scopus database was used for this purpose, and the selected articles were analyzed using MS Excel and VOSviewer. Initially, 297 documents were identified, and 82 articles remained after exclusions. Results: The findings of the study emphasize the growing interest in this topic, the increasing number of related scientific publications, and the importance of the sustainable use of resources in the reverse supply chain.