Relevant bibliographies by topics / Industrial Internet of Things (In.IoT)

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Academic literature on the topic 'Industrial Internet of Things (In.IoT)'

Author: Grafiati
Published: 28 September 2022

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Journal articles on the topic "Industrial Internet of Things (In.IoT)"

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Bynagari, Naresh Babu. "Industrial Application of Internet of Things." Asia Pacific Journal of Energy and Environment 3, no. 2 (December 31, 2016): 75–82. http://dx.doi.org/10.18034/apjee.v3i2.576.

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‘Industrial application of Internet of Things deals with the application of Internet of things to produce industrial services. It analyzed how industries can carry out multiple services with function remotely using IoT-connected devices. The several benefits and drawbacks to the application of IoT services were also investigated. The IoT is a network of connected systems and smart devices that use encoded networks like sensors, processors, and interactive hardware to receive, send and store data. The utilization of IoT for industrial functions will significantly improve industrial output, and in the future, more industries will come to apply IoT devices and systems for greater efficiency.
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Raimundo, Ricardo Jorge, and Albérico Travassos Rosário. "Cybersecurity in the Internet of Things in Industrial Management." Applied Sciences 12, no. 3 (February 2, 2022): 1598. http://dx.doi.org/10.3390/app12031598.

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Nowadays, people live amidst the smart home domain, while there are business opportunities in industrial smart cities and healthcare. However, there are concerns about security. Security is central for IoT systems to protect sensitive data and infrastructure, whilst security issues have become increasingly expensive, in particular in Industrial Internet of Things (IIoT) domains. Nonetheless, there are some key challenges for dealing with those security issues in IoT domains: Applications operate in distributed environments such as Blockchain, varied smart objects are used, and sensors are limited, as far as machine resources are concerned. In this way, traditional security does not fit in IoT systems. The issue of cybersecurity has become paramount to the Internet of Things (IoT) and the Industrial Internet of Things (IIoT) in mitigating cybersecurity risk for organizations and end users. New cybersecurity technologies/applications present improvements for IoT security management. Nevertheless, there is a gap in the effectiveness of IoT cyber risk solutions. This review article discusses the literature trends around opportunities and threats in cybersecurity for IIoT, by reviewing 70 key articles discovered from a profound Scopus literature survey. It aims to present the current debate around the issue of IIoT rather than suggesting any particular technical solutions to solve network security problems.
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Park, Jong. "Advances in Future Internet and the Industrial Internet of Things." Symmetry 11, no. 2 (February 16, 2019): 244. http://dx.doi.org/10.3390/sym11020244.

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After the emergence of the Internet and mobile communication networks, the IoT has been considered as the third wave of information technology. The Industrial Internet of Things (IIoT) is the use of Internet of Things (IoT) technologies in manufacturing. IIoT incorporates machine learning and big data technology, sensor data, and machine-to-machine (M2M) communications that have existed in industrial areas for years. In the future, people and objects will be connected at any time, any place, with anything and anyone and will utilize any network and services. IIoT is creating a new world in which people and businesses can manage their assets in more informed ways and can make more opportune and better-informed decisions. Many advanced IIoT and 5G technologies have been successfully applied in everyday life, but there are still many practical problems tackled by traditional methods which are generally difficult to experimentally solve in the advanced Industrial Internet of Things. Therefore, in this special issue, we accepted five articles in three different dimensions: communication networks, optimized resource provisioning and data forwarding, privacy and security.
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Dwivedi, Sanjeev Kumar, Priyadarshini Roy, Chinky Karda, Shalini Agrawal, and Ruhul Amin. "Blockchain-Based Internet of Things and Industrial IoT: A Comprehensive Survey." Security and Communication Networks 2021 (August 23, 2021): 1–21. http://dx.doi.org/10.1155/2021/7142048.

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Industry 4.0 connects the latest technologies such as cloud computing, Internet of things (IoT), machine learning and artificial intelligence (ML/AI), and blockchain to provide more automation in the industrial process and also bridges the gap between the physical and digital worlds through the cyber-physical system. The inherent feature of IoT devices creates the industry to smart industry (referred to as industrial IoT, i.e., IIoT) through its data-driven decision policies. However, several challenges such as decentralization, security and privacy vulnerability, single point of failure (SPOF), and trust issues exist in the IoT system. Blockchain is one of the promising technologies that can bring about opportunities for addressing the challenges of IoT systems. In this article, we have investigated the integration of IoT with blockchain technology and provided an in-depth study of the blockchain-enabled IoT and IIoT systems. The state-of-the-art research is categorized into data storage and management technique, big data and cloud computing technique (finance and data auditing), and industrial sectors (supply chain, energy, and healthcare sector). The insightful discussion based on the different categories is also presented in the paper. In particular, first, we introduce the IoT and IIoT and then discuss the need for smart contracts in IoT and IIoT systems. Next, we concentrate on the convergence of blockchain and IoT with state-of-the-art research. In addition, this article also provides the open and future research directions towards this era with the highlighted observations.
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Ungurean, Ioan, and Nicoleta Cristina Gaitan. "A Software Architecture for the Industrial Internet of Things—A Conceptual Model." Sensors 20, no. 19 (September 30, 2020): 5603. http://dx.doi.org/10.3390/s20195603.

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The Internet of Things (IoT) is an emerging concept that has revolutionized the use of new technologies in everyday life. The economic impact of IoT becoming very important, and it began to be used in the industrial environment under the name of the Industrial Internet of Things (IIoT) concept, which is a sub-domain of IoT. The IIoT changes the way industrial processes are controlled and monitored, increasing operating efficiency. This article proposes a software architecture for IIoT that has a low degree of abstraction compared to the reference architectures presented in the literature. The architecture is organized on four-layer and it integrates the latest concepts related to fog and edge computing. These concepts are activated through the use of fog/edge/gateway nodes, where the processing of data acquired from things is performed and it is the place where things interact with each other in the virtual environment. The main contributions of this paper are the proposal and description of a complete IIoT software architecture, the use of a unified address space, and the use of the computing platform based on SoC (System on Chip) with specialized co-processors in order to be able to execute in real-time certain time-critical operations specific to the industrial environment.
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Bader, Jawhara, and Anna Lito Michala. "Searchable Encryption with Access Control in Industrial Internet of Things (IIoT)." Wireless Communications and Mobile Computing 2021 (May 15, 2021): 1–10. http://dx.doi.org/10.1155/2021/5555362.

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The technological advancements in the Internet of Things (IoT) and related technologies lead to revolutionary advancements in many sectors. One of these sectors, is the industrial sector red that leverages IoT technologies forming the Industrial Internet of Things (IIoT). IIoT has the potential to enhance the manufacturing process by improving the quality, trace-ability, and integrity of the industrial processes. The enhancement of the manufacturing process is achieved by deploying IoT devices (sensors) across the manufacturing facilities; therefore, monitoring systems are required to collect (from multiple locations) and analyse the data, most likely in the cloud. As a result, IIoT monitoring systems should be secure, preserve the privacy, and provide real-time responses for critical decision-making. In this review, we identified a gap in the state-of-the-art of secure IIoT and propose a set of criteria for secure and privacy preserving IIoT systems to enhance efficiency and deliver better IIoT applications.
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Kinnunen, Sini-Kaisu, Antti Ylä-Kujala, Salla Marttonen-Arola, Timo Kärri, and David Baglee. "Internet of Things in Asset Management." International Journal of Service Science, Management, Engineering, and Technology 9, no. 2 (April 2018): 104–19. http://dx.doi.org/10.4018/ijssmet.2018040105.

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The emerging Internet of Things (IoT) technologies could rationalize data processes from acquisition to decision making if future research is focused on the exact needs of industry. This article contributes to this field by examining and categorizing the applications available through IoT technologies in the management of industrial asset groups. Previous literature and a number of industrial professionals and academic experts are used to identify the feasibility of IoT technologies in asset management. This article describes a preliminary study, which highlights the research potential of specific IoT technologies, for further research related to smart factories of the future. Based on the results of literature review and empirical panels IoT technologies have significant potential to be applied widely in the management of different asset groups. For example, RFID (Radio Frequency Identification) technologies are recognized to be potential in the management of inventories, sensor technologies in the management of machinery, equipment and buildings, and the naming technologies are potential in the management of spare parts.
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Salih, Kazhan Othman Mohammed, Tarik A. Rashid, Dalibor Radovanovic, and Nebojsa Bacanin. "A Comprehensive Survey on the Internet of Things with the Industrial Marketplace." Sensors 22, no. 3 (January 19, 2022): 730. http://dx.doi.org/10.3390/s22030730.

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There is no doubt that new technology has become one of the crucial parts of most people’s lives around the world. By and large, in this era, the Internet and the Internet of Things (IoT) have become the most indispensable parts of our lives. Recently, IoT technologies have been regarded as the most broadly used tools among other technologies. The tools and the facilities of IoT technologies within the marketplace are part of Industry 4.0. The marketplace is too regarded as a new area that can be used with IoT technologies. One of the main purposes of this paper is to highlight using IoT technologies in Industry 4.0, and the Industrial Internet of Things (IIoT) is another feature revised. This paper focuses on the value of the IoT in the industrial domain in general; it reviews the IoT and focuses on its benefits and drawbacks, and presents some of the IoT applications, such as in transportation and healthcare. In addition, the trends and facts that are related to the IoT technologies on the marketplace are reviewed. Finally, the role of IoT in telemedicine and healthcare and the benefits of IoT technologies for COVID-19 are presented as well.
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Marinova-Kostova, Kremena, and Ivaylo Kostov. "Application of Internet of Things in Industry 4.0." Economics. Ecology. Socium 5, no. 2 (June 30, 2021): 49–58. http://dx.doi.org/10.31520/2616-7107/2021.5.2-6.

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Introduction. Industry 4.0 is a concept that is considered a new phase in the Industrial Revolution, closely related to the application of information technologies and the digital transformation of manufacturing. The main purpose is to be created a more holistic and more connected ecosystem, focused on supply chain management in industrial companies. Implementation of solutions in Industry 4.0 is mostly related to the concept of the Internet of Things (IoT). Mass deployment of this type of technology in industrial enterprises is the basis of the so-called Industrial Internet of Things (IIoT). Achieving interoperability in the IIoT requires the combination of two technologies: the Internet of Things and the Internet of People. Aim and tasks. This article describes the implementation of the concept of the Internet of Things in industrial enterprises, as a key technology factor for developing Industry 4.0. Results. A brief overview of the evolution of industrial production - from the beginning of the Industrial Revolution to the emergence of Industry 4.0 is made. The main principles for implementing Industry 4.0 solutions ensure that the entire production process is computerized. Industry 4.0 solutions are mostly associated with the concept of the Internet of Things (IoT) whose definition and essence are obtained in this article. Based on the various concepts of the IoT are presented solutions that can be used in the industry, namely: in consumer devices in technology used in public organizations in infrastructure applications in industrial applications, also called the Industrial Internet of Things (IIoT). Therefore, we can say that there is a significant potential for improving production processes as regards: optimization of operations, forecasting equipment support, inventory optimization, improving workers' security, shipping chain optimization, etc. Conclusions. The application of the Internet of Things in enterprises is an important and decisive step in the process of their digital transformation and transition to Industry 4.0. The interaction between humans and machines, carried out through Internet technologies, leads to the emergence of the Internet of Everything, which will be a basic concept in industrial production in the coming years. However, the role of man in the production process should not be completely eliminated, but solutions should be sought that support and intellectualize his work.
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Ijiga, Owoicho E., Reza Malekian, and Uche A. K. Chude-Okonkwo. "Enabling Emergent Configurations in the Industrial Internet of Things for Oil and Gas Explorations: A Survey." Electronics 9, no. 8 (August 14, 2020): 1306. http://dx.doi.org/10.3390/electronics9081306.

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Several heterogeneous, intelligent, and distributed devices can be connected to interact with one another over the Internet in what is termed internet of things (IoT). Also, the concept of IoT can be exploited in the industrial environment for enhancing the production of goods and services and for mitigating the risk of disaster occurrences. This application of IoT for enhancing industrial production is known as industrial IoT (IIoT). Emergent configuration (EC) is a technology that can be adopted to enhance the operation and collaboration of IoT connected devices in order to improve the efficiency of the connected IoT systems for maximum user satisfaction. To meet user goals, the connected devices are required to cooperate with one another in an adaptive, interoperable, and homogeneous manner. In this paper, a survey of the concept of IoT is presented in addition to a review of IIoT systems. The application of ubiquitous computing-aided software define networking (SDN)-based EC architecture is propounded for enhancing the throughput of oil and gas production in the maritime ecosystems by managing the exploration process especially in emergency situations that involve anthropogenic oil and gas spillages.
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Dissertations / Theses on the topic "Industrial Internet of Things (In.IoT)"

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Wernersson, Henrik Wernersson, and Yassin Atwa. "Resource constrained Industrial IoT device." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-31252.

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I dagens läge är industriella nätverk inte anpassade för att koppla upp resursbegränsade enheter pga av att industriella nätverks-protokollen som används är mer anpassade för real time applikationer. Det skulle vara ett stort steg för de industriella nätverken att kunna koppla upp resursbegränsade enheter för enkel övervakning samt analysering av data. Efter en undersökningsperiod av ett flertal olika IoT-protokoll, gjordes valet att implementera CoAP på en Anybus CompactCom-modul för testning. Under projektets gång användes det en del white-box testning i början vid implementationen av libCoAP. Efter att en fungerande implementation var gjord, påbörjades testning av input och output överensstämmelser med hjälp av black-box testning istället. Resultatet jämfördes i slutändan med den existerande lösningen att skicka parameterdata med hjälp av TCP. Resultatet hade en responstidsskillnad som var 92,3 % snabbare. Samtidigt tog det sammanlagt 24,2 % mindre plats i minnet (FLASH och RAM) för implementationen på Anybus CompactCom-modulen.
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Muhonen, T. (Tiia). "Standardization of Industrial internet and IoT (IoT — Internet of Things):perspective on condition-based maintenance." Master's thesis, University of Oulu, 2015. http://urn.fi/URN:NBN:fi:oulu-201504081319.

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Decreasing costs of electronic devices, increasing computing abilities and advances in sensor technologies have enabled the internet to spread to the whole new area. In the near future, more and more smart objects will be connected to the internet, and new businesses will be created around them. Industrial internet and IoT are topical issues at the moment and both of them are widely studied and discussed in the literature. However, an up-to-date study about the state of their standardization is difficult to find. In this research, the objective is to find out what is the current state of Industrial internet and IoT standardization. Therefore, the results of this research will be useful for anyone working in these fields. Different standardization organizations, alliances and consortiums are also studied. In addition, unofficial industry standards and their potential development and impacts are reviewed. The perspective of the research is outlined especially into Condition-Based Maintenance (CBM). The theoretical part of the research is a literature review that creates a basis for the empirical part. The literature review studies the relevant topics of the research theme: Industrial internet, M2M (Machine to Machine), IoT, standardization and CBM. Qualitative case study method is applied in the empirical part of the research, and ten carefully chosen interviewees are interviewed for gathering the data. The case analysis shows that standardization is seen as an important part when machines start to share information with each other. However, the majority of the interviewees are not taking part of the standardization activities and the knowledge about the current state of standardization is yet quite unclear. The conclusion is based on the findings of the literature review and case analysis. The research findings indicate that standardization in the field of Industrial internet and IoT is just emerging. There is an extensive amount of organizations that are creating standards, both official and non-official, and the application space is wide. Many emerging applications are exploiting their own standards and many standards are still under development. The solutions rely on various co-existing protocols, interfaces and platforms, either proprietary or standard. Some of the Industrial internet and IoT standards will be official standards, whereas some will be de facto standards that are agreed by forums or alliances or dictated by companies in decisive roles. The study results show that standardization plays a key role in Industrial internet and IoT as it contributes to interoperability, compatibility, reliability, security and effective operations between heterogeneous technical solutions globally. Therefore collaboration among various organizations is important and needed
Elektronisten laitteiden kustannusten lasku, tietokoneiden laskentatehojen kasvu ja kehittyneet sensoriteknologiat ovat mahdollistaneet internetin leviämisen täysin uudelle alueelle. Lähitulevaisuudessa yhä useammat älykkäät esineet ovat yhteydessä internetiin, ja uusia liiketoimintoja luodaan niiden ympärille. Teollinen internet ja esineiden internet (IoT — Internet of Things) ovat ajankohtaisia aiheita tällä hetkellä ja molemmat laajalti tutkittuja kirjallisuudessa. Silti ajankohtaista tutkimusta niiden tämän hetkisestä standardoinnin tilasta on vaikea löytää. Tämän tutkimuksen tavoitteena on selvittää Teollisen internetin ja IoT:n standardoinnin nykytila. Näin ollen tutkimuksen tulokset hyödyttävät toimijoita näillä aloilla. Myös eri standardointiorganisaatioita, alliansseja ja yhteenliittymiä tarkastellaan. Lisäksi epävirallisia teollisuusstandardeja ja niiden mahdollista kehitystä ja vaikutuksia arvioidaan. Tutkimuksen näkökulma on rajattu erityisesti ennakoivaan kunnossapitoon. Tutkimuksen teoriaosuus on kirjallisuuskatsaus, joka muodostaa perustan empirialle. Kirjallisuuskatsaus tarkastelee tutkimuksen teeman kannalta relevantteja aihepiirejä: Teollinen internet, M2M (Machine to Machine), IoT, standardointi ja ennakoiva kunnossapito. Kvalitatiivista case-tutkimusmenetelmää sovelletaan tutkimuksen empiriaosiossa, ja tiedon keräämistä varten haastatellaan kymmenen tarkoin valittua haastateltavaa. Case-analyysi osoittaa, että standardointia pidetään tärkeänä laitteiden jakaessa tietoa toisilleen. Kuitenkaan suurin osa haastateltavista ei ota osaa standardointitoimintaan, ja käsitys standardoinnin nykytilasta on heille vielä melko epäselvä. Johtopäätökset pohjautuvat kirjallisuuskatsauksen ja case-analyysin perusteella saatuihin löydöksiin. Tutkimustulokset osoittavat, että Teollisen internetin ja IoT:n standardointi on vasta kehittymässä. Standardeja luovia organisaatioita, sekä virallisia että epävirallisia, on suuri määrä, ja sovelluskenttä on laaja. Monet kehittymässä olevat sovellukset hyödyntävät omia standardejaan, ja useat standardit ovat yhä kehitysasteella. Ratkaisut perustuvat erilaisiin yhtä aikaa olemassa oleviin protokolliin, rajapintoihin ja sovellusalustoihin, niin patentoituihin kuin standardeihinkin. Osa Teollisen internetin ja IoT:n standardeista tulevat olemaan virallisia standardeja, kun taas osa tulee olemaan de facto standardeja, jotka on hyväksytty forumeissa ja alliansseissa tai ratkaisevassa roolissa olevissa yrityksissä. Tutkimustulokset osoittavat, että standardointi on tärkeässä roolissa Teollisessa internetissä ja IoT:ssä, sillä se vaikuttaa yhteensopivuuteen, yhdenmukaisuuteen, luotettavuuteen, turvallisuuteen ja tehokkaaseen toimintaan hajanaisten teknisten sovellusten välillä globaalisti. Siitä syystä yhteistyö eri organisaatioiden välillä on tärkeää ja tarpeellista
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Iqbal, Muhammad Azhar. "Internet of Things (IoT) Industry Gateway Modelling." Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-28691.

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The Internet of Things (IoT) provide the possibility to build dynamic industrial systems and applications to improve the quality of production in industrial areas. There are many Industrial IoT Gateways (IoTGWs) available on the market, all of which have different functionalities and properties. Here, the different properties of the IIoTGWs were explored, with the researcher’s as well as vendor’s perspective in mind. The most important properties were identified using research papers and technical data sheets, based on this, a model was created. The model showed the best two gateways available in the database. The results show that methods used can be applied in future research.
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Egel, Jill. "Internet of Things and its Business Models." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-80995.

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The Internet of Things (IoT) is the next phase in the evolution of the internet, where everyday objects are connected to the internet, and obtain the capacity to communicate with other devices and sense their environment. Especially the IIoT is one of the most talked about industrial business concepts since the recent years, companies try to focus on business models and operational efficiency. That is why this thesis focuses on researching the industrial Internet of Things (IIoT). There is already a lot of information about the common Internet of Things but still a gap in research in the business perspective, especially surrounding the concept of business models for the IIoT. The goal of this project is to investigate different kinds of business models, how they work and how feasible they are. The need to research possible business models for an IIoT framework, as traditional business models are relevant for this study, such as the Business Model Canvas which has been proposed by Alexander Osterwalder or the Business Model Navigator by Oliver Gassmann. But there is still a lack of literature covering the business models for the IIoT. Therefore, after researching the concept of IIoT from a business perspective, I identified some useful criteria and suitable business models. With a qualitative literature study, I was able to develop an IIoT business model framework, based on the dynamics and complexity of the IIoT concept, which incorporates business strategies and provides companies with a flexible approach. The business model framework can be used in any business which is working in the industrial context. To demonstrate how the business model framework works for the IIoT, I clarified how suitable business models can improve the current business model of the very prominent and successful company Tesla. The results show how the framework of IIoT business models can be used to increase profit and work efficiently as a company. The models can also be formed to only highlight single components of an already existing business model, as it offers great flexibility, which is highly valuable in the fast evolving and innovative IIoT phenomenon.
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Felicetti, Riccardo. "Infrastrutture per Monitoraggio e Controllo di Dispositivi Industrial IoT basate su Soluzioni Eclipse Foundation." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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L'obiettivo di questo studio è quello di realizzare un'infrastruttura per ambienti industriali che permetta di monitorare e controllare dispositivi appartenenti al mondo dell'Internet of Things, basata su due tecnologie offerte dall'Eclipse Foundation. L'elaborato offre in primo luogo una panoramica sul mondo dell'IIoT e un'analisi approfondita delle piattaforme Eclipse Kura, utilizzata per la realizzazione di un gateway IoT ed Eclipse Kapua utilizzata per la realizzazione di una piattaforma Cloud. Successivamente il focus si sposta sull'implementazione dell'infrastruttura, mostrando nel dettaglio la sua installazione, la sua configurazione e lo sviluppo di componenti aggiuntivi. Lo studio si conclude infine, con l'esecuzione di una serie di test e una valutazione del risultato ottenuto.
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Milinic, Vasilije. "Investigating Security Issues in Industrial IoT: A Systematic Literature Review." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-54980.

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The use of Internet-of-Things (IoT) makes it possible to inter-connect Information Technology (IT) and Operational Technology (OT) into a completely new system. This convergence is often known as Industrial IoT (IIoT). IIoT brings a lot of benefits to industrial assets, such as improved efficiency and productivity, reduced cost, and depletion of human error. However, the high inter-connectivity opens new possibilities for cyber incidents. These incidents can cause major damage like halting of production on the manufacturing line, or catastrophic havoc to companies, communities, and countries causing power outages, floods, and fuel shortages. Such incidents are important to be predicted, stopped, or alleviated at no cost. Moreover, these incidents are a great motive for researchers and practitioners to investigate known security problems and find potential moderation strategies.  In this thesis work, we try to identify what types of IIoT systems have been investigated in the literature. We seek out to find if software-related issues can yield security problems. Also, we make an effort to perceive what are the proposed methods to mitigate the security threats.We employ the systematic literature review (SLR) methodology to collect this information. The results are gathered from papers published in the last five years and they show an increased interest in research in this domain. We find out software vulnerabilities are a concern for IIoT systems, mainly firmware vulnerabilities and buffer overflows, and there are a lot of likely attacks that can cause damage, mostly injection and DDoS attacks. There are a lot of different solutions which offer the possibility to stop the identified problems and we summarize them. Furthermore, the research gap considering the update process in these systems and devices, as well as a problem with the unsupervised software supply chain is identified.
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Lieti, Valerio. "Development of an Industrial IoT End-to-End Use Case." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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This project is born merging my personal interest in IoT and AI fields and the collaboration with WiLab, Bi-rex and EBWorld. By joining different skills, the final result is the realization of an end-to-end Industrial IoT application. This IIoT use-case focuses on monitoring accelerations that characterize a turntable, on which mechanical parts are processed. The purpose of the monitoring is to implement predictive maintenance to report potential malfunctions. The turntable in question belongs to DMG Mori, a five-axis turning and milling machine for subtractive manufacturing, machine located at Bi-Rex. Bi-rex is a national competence center introduced by the Ministry of the Economic Development, focused on Big Data and Industry 4.0. It is a public-private consortium aimed to deal with digital transformation and technological innovation, based in Bologna. The technology applied for monitoring is LoRa at 2.4 GHz and the network implemented is a tree topology system of WiLab property, called IMMUNeT (Industrial Machine Monitoring Unplugged Network). Beginning from the adaptation of the accelerometer firmware, moving to the dispatching of extracted data to the server, developing machine learning techniques aimed at predictive maintenance, I lastly exhibit the operating state through the Node-RED dashboard. The resulting data describes if it is required to take actions on the machine or to stop it, in order to avoid a dangerous situation or crack the machinery. This critical information is shown graphically on a 3D interactive map to ensure a more user-friendly interface.
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Söderby, Karl. "Education of IoT in an industrial context." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-21298.

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As the rise of Industry 4.0 sheds light on many emerging technologies, oursociety will change with it. While it brings forth many positive aspects, itcannot be ignored the socio-economic problems we may face in the future.Many jobs will be transformed, manual labour such as order picking, forkliftdriving will be vanishing, and humanity will have to adapt, as we have for theprevious industrial revolutions.Educating the industrial workers that face unemployment due to automationis an important ethical matter, but can we as humans develop our knowledgewith the technology, as opposed to adapting to it? This thesis uses methodsof interaction design to create an alternative educational format, forindustrial workers to learn about the Internet of Things, an essentialcomponent of Industry 4.0.The result of this is TIOTTA (Teaching Internet of Things ThroughApplication), a contextual learning material designed together with industrialworkers.
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Granlund, Mathias, and Christoffer Hoppe. "Evaluating the functionality of an Industrial Internet of Things system in the Fog." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-39744.

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The Internet is one of the greatest innovations ever created by mankind, and it is a technical trend that has moved into industries to facilitate automation, supervision and management in the form of IoT devices. These devices are designed to be extremely lightweight and operate in low-power and lossy networks, and therefore run a low duty cycle and CPU-clock frequency to reserve battery life. Fog nodes are located on site to minimize network delay and provide centralized processing to handle data from hundreds of connected devices in wireless sensor networks. This is the future of industrial automation. Our goal is to show the functionality of an industrial IoT network within the scope of Fog computing by implementing a closed-loop control system in Cooja. Performance evaluations considered network reliability in terms of packet delivery ratio and timeliness. We assume that wireless IoT devices are running RPL routing (one of the most common standard routing protocols for IoT applications). We implement a mobility controller at the Fog-server in order to collect measurements made by the Fog nodes and send commands to IoT devices. In this thesis work, we assume that the commands are related to the mobility pattern of mobile node (e.g. AGVs in industrial automation) in order to avoid collision. From the simulation results we can conclude that sampling rates and node density have a greater impact on performance compared to payload size. We cannot be sure that our results reflect what a real-world evaluation would imply as we are running an emulation software, even though it has a very realistic physical layer. We do however believe that with substantial testing and improvements to both Cooja and our implementation, an accurate representation can be accomplished and algorithms in Cooja can be moved to real-world implementations.
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Sylvan, Andreas. "Internet of Things in Surface Mount TechnologyElectronics Assembly." Thesis, KTH, Medieteknik och interaktionsdesign, MID, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209243.

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Currently manufacturers in the European Surface Mount Technology (SMT) industry seeproduction changeover, machine downtime and process optimization as their biggestchallenges. They also see a need for collecting data and sharing information betweenmachines, people and systems involved in the manufacturing process. Internet of Things (IoT)technology provides an opportunity to make this happen. This research project gives answers tothe question of what the potentials and challenges of IoT implementation are in European SMTmanufacturing. First, key IoT concepts are introduced. Then, through interviews with expertsworking in SMT manufacturing, the current standpoint of the SMT industry is defined. The studypinpoints obstacles in SMT IoT implementation and proposes a solution. Firstly, local datacollection and sharing needs to be achieved through the use of standardized IoT protocols andAPIs. Secondly, because SMT manufacturers do not trust that sensitive data will remain securein the Cloud, a separation of proprietary data and statistical data is needed in order take a stepfurther and collect Big Data in a Cloud service. This will allow for new services to be offered byequipment manufacturers.
I dagsläget upplever tillverkare inom den europeiska ytmonteringsindustrin för elektronikproduktionsomställningar, nedtid för maskiner och processoptimering som sina störstautmaningar. De ser även ett behov av att samla data och dela information mellan maskiner,människor och system som som är delaktiga i tillverkningsprocessen.Sakernas internet, även kallat Internet of Things (IoT), erbjuder teknik som kan göra dettamöjligt. Det här forskningsprojektet besvarar frågan om vilken potential som finns samt vilkautmaningar en implementation av sakernas internet inom europeisk ytmonteringstillverkning avelektronik innebär. Till att börja med introduceras nyckelkoncept inom sakernas internet. Sedandefinieras utgångsläget i elektroniktillverkningsindustrin genom intervjuer med experter.Studien belyser de hinder som ligger i vägen för implementation och föreslår en lösning. Dettainnebär först och främst att datainsamling och delning av data måste uppnås genomanvändning av standardiserade protokoll för sakernas internet ochapplikationsprogrammeringsgränssnitt (APIer). På grund av att elektroniktillverkare inte litar påatt känslig data förblir säker i molnet måste proprietär data separeras från statistisk data. Dettaför att möjliggöra nästa steg som är insamling av så kallad Big Data i en molntjänst. Dettamöjliggör i sin tur för tillverkaren av produktionsmaskiner att erbjuda nya tjänster.
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Books on the topic "Industrial Internet of Things (In.IoT)"

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Alam, Mansaf, Kashish Ara Shakil, and Samiya Khan, eds. Internet of Things (IoT). Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37468-6.

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Mandler, Benny, Johann Marquez-Barja, Miguel Elias Mitre Campista, Dagmar Cagáňová, Hakima Chaouchi, Sherali Zeadally, Mohamad Badra, et al., eds. Internet of Things. IoT Infrastructures. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47075-7.

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Mandler, Benny, Johann Marquez-Barja, Miguel Elias Mitre Campista, Dagmar Cagáňová, Hakima Chaouchi, Sherali Zeadally, Mohamad Badra, et al., eds. Internet of Things. IoT Infrastructures. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47063-4.

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Serpanos, Dimitrios, and Marilyn Wolf. Internet-of-Things (IoT) Systems. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69715-4.

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Giaffreda, Raffaele, Dagmar Cagáňová, Yong Li, Roberto Riggio, and Agnès Voisard, eds. Internet of Things. IoT Infrastructures. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19743-2.

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Giaffreda, Raffaele, Radu-Laurentiu Vieriu, Edna Pasher, Gabriel Bendersky, Antonio J. Jara, Joel J. P. C. Rodrigues, Eliezer Dekel, and Benny Mandler, eds. Internet of Things. User-Centric IoT. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19656-5.

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Behmann, Fawzi, and Kwok Wu. Collaborative Internet of Things (C-IOT). Chichester, UK: John Wiley & Sons Ltd, 2015. http://dx.doi.org/10.1002/9781118913734.

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Ahmed, Mobyen Uddin, Shahina Begum, and Jean-Baptiste Fasquel, eds. Internet of Things (IoT) Technologies for HealthCare. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76213-5.

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Mavromoustakis, Constandinos X., George Mastorakis, and Jordi Mongay Batalla, eds. Internet of Things (IoT) in 5G Mobile Technologies. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30913-2.

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Zhou, Zhenyu, Zheng Chang, and Haijun Liao. Green Internet of Things (IoT): Energy Efficiency Perspective. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64054-5.

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Book chapters on the topic "Industrial Internet of Things (In.IoT)"

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Ramakrishnan, Ravi, and Loveleen Gaur. "Demystifying the Industrial IoT Paradigm." In Internet of Things, 1–23. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2019.: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429486593-1.

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Grover, Jyotsana. "Industrial IoT and Its Applications." In Internet of Things, 107–24. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89554-9_5.

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Serpanos, Dimitrios, and Marilyn Wolf. "Industrial Internet of Things." In Internet-of-Things (IoT) Systems, 37–54. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69715-4_5.

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Chakravarthi, Veena S. "Industrial IoT (IIoT) Design Methodology." In Internet of Things and M2M Communication Technologies, 47–60. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79272-5_3.

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Aruna, M., S. Ananda Kumar, B. Arthi, and Uttam Ghosh. "Smart Security for Industrial and Healthcare IoT Applications." In Internet of Things, 353–71. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81473-1_17.

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Srivastava, Divya, Madhushi Verma, Pradeep Chatterjee, Sunil Kumar Jangir, and Manish Kumar. "IoT-Enabled Heart Disease Prediction Using Machine Learning." In Industrial Internet of Things, 127–42. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003145004-7.

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Scheidt, N., and M. Adda. "Threats in Industrial IoT." In Internet of Things, Threats, Landscape, and Countermeasures, 137–66. Boca Raton : CRC Press, 2021.: CRC Press, 2021. http://dx.doi.org/10.1201/9781003006152-4.

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Kumar, Jitendra, and Mukesh Kumar. "Analysis of Cascading Behavior in Social Networks and IoT." In Industrial Internet of Things, 173–88. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003145004-10.

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Choubey, Dilip Kumar, Vaibhav Shukla, Vaibhav Soni, Jitendra Kumar, and Dharmendra Kumar Dheer. "A Review on IoT Architectures, Protocols, Security, and Applications." In Industrial Internet of Things, 225–42. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003145004-13.

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Meena, K., and R. Raja Sekar. "IoT and Deep Learning-Based Prophecy of COVID-19." In Industrial Internet of Things, 83–102. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003145004-5.

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Conference papers on the topic "Industrial Internet of Things (In.IoT)"

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Ugwuanyi, Stephen, Jidapa Hansawangkit, and James Irvine. "NB-IoT Testbed for Industrial Internet of Things." In 2020 International Symposium on Networks, Computers and Communications (ISNCC). IEEE, 2020. http://dx.doi.org/10.1109/isncc49221.2020.9297221.

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Ruppert, Tamas, and Janos Abonyi. "Industrial Internet of Things based cycle time control of assembly lines." In 2018 IEEE International Conference on Future IoT Technologies (Future IoT). IEEE, 2018. http://dx.doi.org/10.1109/fiot.2018.8325590.

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Saha, Himadri Nath, Supratim Auddy, Avimita Chatterjee, Subrata Pal, Shivesh Pandey, Rocky Singh, Rakhee Singh, et al. "Pollution control using Internet of Things (IoT)." In 2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON). IEEE, 2017. http://dx.doi.org/10.1109/iemecon.2017.8079563.

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Saha, Himadri Nath, Supratim Auddy, Subrata Pal, Shubham Kumar, Shivesh Pandey, Rocky Singh, Amrendra Kumar Singh, Priyanshu Sharan, Debmalya Ghosh, and Sanhita Saha. "Health monitoring using Internet of Things (IoT)." In 2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON). IEEE, 2017. http://dx.doi.org/10.1109/iemecon.2017.8079564.

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Saha, Himadri Nath, Supratim Auddy, Subrata Pal, Shubham Kumar, Shivesh Pandey, Rakhee Singh, Amrendra Kumar Singh, Swarnadeep Banerjee, Debmalya Ghosh, and Sanhita Saha. "Waste management using Internet of Things (IoT)." In 2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON). IEEE, 2017. http://dx.doi.org/10.1109/iemecon.2017.8079623.

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Saha, Himadri Nath, Supratim Auddy, Subrata Pal, Shubham Kumar, Subhadeep Jasu, Rocky Singh, Rakhee Singh, Swarnadeep Banerjee, Priyanshu Sharan, and Ankita Maity. "Internet of Things (IoT) on bio-technology." In 2017 8th Annual Industrial Automation and Electromechanical Engineering Conference (IEMECON). IEEE, 2017. http://dx.doi.org/10.1109/iemecon.2017.8079624.

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Saragih, L. Ranjaliba, M. Dachyar, Teuku Yuri M. Zagloel, and Muhammad Satar. "The Industrial IoT for Nusantara." In 2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS). IEEE, 2018. http://dx.doi.org/10.1109/iotais.2018.8600860.

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Lesi, Vuk, Zivana Jakovljevic, and Miroslav Pajic. "Reliable industrial IoT-based distributed automation." In IoTDI '19: International Conference on Internet-of-Things Design and Implementation. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3302505.3310072.

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Nikoo, Mahdi Saeedi, M. Cagri Kaya, Michael L. Schwartz, and Halit Oguztuzun. "An MII-Aware SoA Editor for the Industrial Internet of Things." In 2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0&IoT). IEEE, 2019. http://dx.doi.org/10.1109/metroi4.2019.8792903.

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Maraden, Yan, Wibowo Hardjawana, and Branka Vucetic. "Contention resolution algorithm for industrial Internet-of-Things networks." In 2018 IEEE 4th World Forum on Internet of Things (WF-IoT). IEEE, 2018. http://dx.doi.org/10.1109/wf-iot.2018.8355192.

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Reports on the topic "Industrial Internet of Things (In.IoT)"

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Gomez, C., J. Crowcroft, and M. Scharf. TCP Usage Guidance in the Internet of Things (IoT). RFC Editor, March 2021. http://dx.doi.org/10.17487/rfc9006.

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Megas, Katerina, Ben Piccarreta, and Danna Gabel O'Rourke. Internet of things (IoT) cybersecurity colloquium: a NIST workshop proceedings. Gaithersburg, MD: National Institute of Standards and Technology, December 2017. http://dx.doi.org/10.6028/nist.ir.8201.

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Simmon, Eric. Internet of Things (IoT) component capability model for research testbed. Gaithersburg, MD: National Institute of Standards and Technology, September 2020. http://dx.doi.org/10.6028/nist.ir.8316.

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Boeckl, Katie, Michael Fagan, William Fisher, Naomi Lefkovitz, Katerina N. Megas, Ellen Nadeau, Danna Gabel O'Rourke, Ben Piccarreta, and Karen Scarfone. Considerations for managing Internet of Things (IoT) cybersecurity and privacy risks. Gaithersburg, MD: National Institute of Standards and Technology, June 2019. http://dx.doi.org/10.6028/nist.ir.8228.

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Garcia-Morchon, O., S. Kumar, and M. Sethi. Internet of Things (IoT) Security: State of the Art and Challenges. RFC Editor, April 2019. http://dx.doi.org/10.17487/rfc8576.

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Jimenez, J., H. Tschofenig, and D. Thaler. Report from the Internet of Things (IoT) Semantic Interoperability (IOTSI) Workshop 2016. RFC Editor, October 2018. http://dx.doi.org/10.17487/rfc8477.

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Symington, Susan, William Polk, and Murugiah Souppaya. Trusted Internet of Things (IoT) Device Network-Layer Onboarding and Lifecycle Management (Draft). Gaithersburg, MD: National Institute of Standards and Technology, September 2020. http://dx.doi.org/10.6028/nist.cswp.09082020-draft.

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Moran, B., H. Tschofenig, and H. Birkholz. A Manifest Information Model for Firmware Updates in Internet of Things (IoT) Devices. RFC Editor, January 2022. http://dx.doi.org/10.17487/rfc9124.

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Passos, João, Sérgio Ivan Lopes, Filipe Manuel Clemente, Pedro Miguel Moreira, Markel Rico-González, Pedro Bezerra, and Luis Paulo Rodrigues. Wearables and Internet of Things (IoT) Technologies for Fitness Assessment: A Systematic Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, June 2021. http://dx.doi.org/10.37766/inplasy2021.6.0041.

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Hogan, Mike, and Ben Piccarreta. Interagency report on the status of international cybersecurity standardization for the internet of things (IoT). Gaithersburg, MD: National Institute of Standards and Technology, November 2018. http://dx.doi.org/10.6028/nist.ir.8200.

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