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    Wyświetlanie 1-6 z 6
    Tytuł:
    A holistic study on the use of blockchain technology in CPS and IoT architectures maintaining the CIA triad in data communication
    Autorzy:
    Bhattacharjya, Aniruddha
    Powiązania:
    https://bibliotekanauki.pl/articles/2172111.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    CPS
    blockchain Internet of things
    IIoT
    DDoS
    ARP spoofing
    M2M
    machine-to-machine
    peer-to-peer system
    P2P
    CIA triad
    Internet rzeczy
    ARP
    peer-to-peer
    Opis:
    Blockchain-based cyber-physical systems (CPSs) and the blockchain Internet of things (BIoT) are two major focuses of the modern technological revolution. Currently we have security attacks like distributed denial-of-service (DDoS), address resolution protocol (ARP) spoofing attacks, various phishing and configuration threats, network congestion, etc. on the existing CPS and IoT architectures. This study conducts a complete survey on the flaws of the present centralized IoT system’s peer-to-peer (P2P) communication and the CPS architecture’s machine-to-machine (M2M) communication. Both these architectures could use the inherent consensus algorithms and cryptographic advantages of blockchain technology. To show how blockchain technology can resolve the flaws of the existing CPS and IoT architectures while maintaining confidentiality, integrity, and availability (the CIA triad), we conduct a holistic survey here on this topic and discuss the research focus in the domain of the BIoT. Then we analyse the similarities and dissimilarities of blockchain technology in IoT and CPS architectures. Finally, it is well understood that one should explore whether blockchain technology will give advantages to CPS and IoT applications through a decision support system (DSS) with a relevant mathematical model, so here we provide the DSS with such a model for this purpose.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2022, 32, 3; 403--413
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Forth Industrial Revolution (4 IR): Digital Disruption of Cyber – Physical Systems
    Autorzy:
    Kasza, Joanna
    Powiązania:
    https://bibliotekanauki.pl/articles/1058063.pdf
    Data publikacji:
    2019
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Forth Industrial Revolution (4IR)
    H2M (human to machine) communication
    Industrial Internet of Things (IIOT)
    Industry 4.0
    Internet of Things (IOT)
    M2H (machine to human)
    M2M (machine to machine)
    SMAC (social
    Smart Manufacturing
    analytics and cloud)
    artificial intelligence (AI)
    cyber-physical systems
    digital disruption (disruptive innovations)
    infosphere
    mobile
    pervasive computing
    philosophy of information
    semantic web
    symbiotic and ubiquitous web
    Opis:
    Article focus of the disruptive character of technological innovations brought by Fourth Industrial Revolution (4IR), with its unprecedented scale and scope, and exponential speed of incoming innovations, described from the point view of ‘unintended consequences’ (cross cutting impact of disruptive technologies across many sectors and aspects of human life). With integration of technology innovations emerging in number of fields including advanced robotics, pervasive computing, artificial intelligence, nano- and bio- technologies, additive and smart manufacturing, Forth Industrial Revolution introduce new ways in which technology becomes embedded not only within the society, economy and culture, but also within human body and mind (described by integration of technologies, collectively referred to as cyber-physical systems). At the forefront of digital transformation, based on cyber physical systems, stands Industry 4.0, referring to recent technological advances, where internet and supporting technologies (embedded systems) are serving as framework to integrate physical objects, human actors, intelligent machines, production lines and processes across organizational boundaries to form new kind of intelligent, networked value chain, called smart factory. Article presents broader context of ‘disruptive changes (innovations)’ accompanying 4IR, that embrace both economical perspective of ‘broader restructuring’ of modern economy and society (described in second part of the article as transition from second to third and forth industrial revolution), and technological perspective of computer and informational science with advances in pervasive computing, algorithms and artificial intelligence (described in third part of article with different stages of web development : web 1.0, web 2.0, web 3.0, web 4.0). What’s more important, article presents hardly ever described in literature, psychological and philosophical perspective, more or less subtle reconfiguration made under the influence of these technologies, determining physical (body), psychological (mind) and philosophical aspect of human existence (the very idea of what it means to be the human), fully depicted in the conclusion of the article. The core element (novelty) is the attempt to bring full understanding and acknowledgment of disruptive innovations’, that “change not only of the what and the how things are done, but also the who we are”, moving beyond economical or technological perspective, to embrace also psychological and philosophical one.
    Źródło:
    World Scientific News; 2019, 134, 2; 118-147
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Artificial intelligence-based predictive maintenance, time-sensitive networking, and big data-driven algorithmic decision-making in the economics of Industrial Internet of Things
    Autorzy:
    Kliestik, Tomas
    Nica, Elvira
    Durana, Pavol
    Popescu, Gheorghe H.
    Powiązania:
    https://bibliotekanauki.pl/articles/39987975.pdf
    Data publikacji:
    2023
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    artificial intelligence (AI)
    predictive maintenance (PM)
    Industrial Internet of Things (IIoT)
    time-sensitive networking (TSN)
    big data
    algorithmic decision-making
    Opis:
    Research background: The article explores the integration of Artificial Intelligence (AI) in predictive maintenance (PM) within Industrial Internet of Things (IIoT) context. It addresses the increasing importance of leveraging advanced technologies to enhance maintenance practices in industrial settings. Purpose of the article: The primary objective of the article is to investigate and demonstrate the application of AI-driven PM in the IIoT. The authors aim to shed light on the potential benefits and implications of incorporating AI into maintenance strategies within industrial environments. Methods: The article employs a research methodology focused on the practical implementation of AI algorithms for PM. It involves the analysis of data from sensors and other sources within the IIoT ecosystem to present predictive models. The methods used in the study contribute to understanding the feasibility and effectiveness of AI-driven PM solutions. Findings & value added: The article presents significant findings regarding the impact of AI-driven PM on industrial operations. It discusses how the implementation of AI technologies contributes to increased efficiency. The added value of the research lies in providing insights into the transformative potential of AI within the IIoT for optimizing maintenance practices and improving overall industrial performance.
    Źródło:
    Oeconomia Copernicana; 2023, 14, 4; 1097-1138
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Exploring the Determinants of Partner Management in IIoT Platform Ecosystems
    Дослідження детермінант управління партнерами в екосистемах платформ IIoT
    Autorzy:
    Petrik, Dimitri
    Powiązania:
    https://bibliotekanauki.pl/articles/21304881.pdf
    Data publikacji:
    2023
    Wydawca:
    Dnieprowski Uniwersytet Narodowy im. Ołesia Honczara
    Tematy:
    Platform Ecosystems
    IIoT Platform Ecosystems
    Partner Management
    Partner Program
    Systematic Literature Analysis
    екосистеми платформ
    екосистеми платформ IIoT
    управління партнерами
    партнерська програма
    систематичний аналіз літератури
    Opis:
    Purpose: This study aims to determine the current state of research on partner management in the context of IIoT platforms that rely on partnerships to act as innovation engines. Design/Method/Approach (only for empirical papers): The applied research method is a systematic literature analysis supported by a concept-centric synthesis. The sample of relevant literature comprises thirty papers. Findings: The results indicate that only a few frameworks exist to improve and professionalize partner management in the practice and only a few papers focus on IIoT platform ecosystems. In contrast, there are some articles that empirically examine individual determinants of partner management in detail. Based on these results, a conceptual framework is derived to organize and distinguish the determinants of partner management from the determinants of partner programs necessary to realize partner management. Theoretical Implications: The study contributes to the research stream on partner management in IIoT platform ecosystems and enterprise software ecosystems, synthesizing the existing research and highlighting the importance of curated support of partners as a competitive lever between platform ecosystems competing in the same domain. Practical Implications: Practitioners can use the derived framework to structure partner management activities and make more informed decisions based on the structured view of decisions summarized in the conceptual framework. Originality/Value: Due to the critical role of complementary partners in innovating upon IIoT platforms the framework is an important foundation for further research on the individual determinants of partner management in the context of digital platforms. Research Limitations/Future Research: The derived conceptual framework was not empirically validated. Empirical follow-up research could refine the framework and develop it into a taxonomy using systematic procedures.
    Мета роботи: Це дослідження має на меті визначити поточний стан досліджень з управління партнерами в контексті платформ IIoT, які покладаються на партнерські відносини та діють як двигуни інновацій. Дизайн / Метод / Підхід дослідження: Застосований метод дослідження - систематичний аналіз літератури, підкріплений концептуально-орієнтованим синтезом. Вибірка літератури складається з тридцяти статей. Результати дослідження: Результати свідчать про те, що існує небагато концепцій для вдосконалення та професіоналізації управління партнерами на практиці, і лише кілька робіт зосереджені на екосистемах платформ IIoT. На противагу цьому, в деяких статтях емпірично детально досліджуються окремі детермінанти партнерського менеджменту. На основі цих результатів виведено концептуальну основу для організації та розмежування детермінант управління партнерами та пов'язаної з ними концепції партнерських програм. Теоретична цінність дослідження: Дослідження робить внесок у дослідження управління партнерами в екосистемах платформ IIoT та екосистемах корпоративного програмного забезпечення, синтезуючи існуючі дослідження та підкреслюючи важливість кураторської підтримки партнерів як конкурентного важеля між екосистемами платформ, що конкурують в одному домені. Практична цінність дослідження: Практики можуть використовувати отриману концептуальну основу для структурування діяльності з управління партнерами та прийняття більш обґрунтованих рішень на основі структурованого бачення рішень, узагальненого в концептуальній основі. Оригінальність / Цінність дослідження: Через критичну роль взаємодоповнюючих партнерів в інноваціях на платформах IIoT концептуальна основа є важливим підґрунтям для подальших досліджень індивідуальних детермінант управління партнерами в контексті цифрових платформ. Обмеження дослідження / Майбутні дослідження: Отримана концептуальна основа не була емпірично підтверджена. Подальші емпіричні дослідження можуть вдосконалити та розвинути концепцію в таксономію з використанням систематичних процедур.
    Źródło:
    European Journal of Management Issues; 2023, 31, 2; 79-92
    2519-8564
    Pojawia się w:
    European Journal of Management Issues
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Enhancing Intrusion Detection in Industrial Internet of Things through Automated Preprocessing
    Autorzy:
    Sezgin, Anıl
    Boyacı, Aytuğ
    Powiązania:
    https://bibliotekanauki.pl/articles/2201911.pdf
    Data publikacji:
    2023
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    feature selection
    intrusion detection
    machine learning
    industrial internet of things
    Internet of things
    IIoT
    Opis:
    Industrial Internet of Things (IIoT) is a rapidly growing field, where interconnected devices and systems are used to improve operational efficiency and productivity. However, the extensive connectivity and data exchange in the IIoT environment make it vulnerable to cyberattacks. Intrusion detection systems (IDS) are used to monitor IIoT networks and identify potential security breaches. Feature selection is an essential step in the IDS process, as it can reduce computational complexity and improve the accuracy of the system. In this research paper, we propose a hybrid feature selection approach for intrusion detection in the IIoT environment using Shapley values and a genetic algorithm-based automated preprocessing technique which has three automated steps including imputation, scaling and feature selection. Shapley values are used to evaluate the importance of features, while the genetic algorithm-based automated preprocessing technique optimizes feature selection. We evaluate the proposed approach on a publicly available dataset and compare its performance with existing state-of-the-art methods. The experimental results demonstrate that the proposed approach outperforms existing methods, achieving high accuracy, precision, recall, and F1-score. The proposed approach has the potential to enhance the performance of IDS in the IIoT environment and improve the overall security of critical industrial systems.
    Źródło:
    Advances in Science and Technology. Research Journal; 2023, 17, 2; 120--135
    2299-8624
    Pojawia się w:
    Advances in Science and Technology. Research Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The performance of IIoT communication standards
    Autorzy:
    Walczak, Maciej
    Hetmańczyk, Mariusz
    Powiązania:
    https://bibliotekanauki.pl/articles/2232525.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
    Tematy:
    Industry 4.0
    edge computing
    IIoT
    przetwarzanie brzegowe
    Opis:
    The requirements of Industry 4.0 determine the necessity to change thinking in the field of production development, adopted management methods and modernisation of production resources. When planning the implementation of a new production system (or retrofit), it is possible to use the RAMI 4.0 reference model, which was published in April 2015 by the VDI/VDE Society Measurement and Automatic Control. A key aspect of modern industrial systems is connectivity and trouble-free data exchange. In the case of data exchange, the basic element holding back the development of Industry 4.0 is the lack of standardisation, as well as the lack of interoperability between IIoT network nodes. Modern IIoT applications require high network throughput, low latency and reliability. In view of such guidelines, efficient communication standards and specialised equipment are required. Edge Computing is one of the most important technology trends of the 21st century that will play a key role in the IIoT market. Due to the diversity of available technologies and solutions, no universal standards have been developed to date that can be referred to when planning, building and implementing new applications. The article presents an overview of the most popular industrial communication protocols and their systematisation in terms of meet the requirements for IIoT devices.
    Źródło:
    Diagnostyka; 2023, 24, 3; art. no. 2023307
    1641-6414
    2449-5220
    Pojawia się w:
    Diagnostyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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