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Journal articles on the topic 'IoT'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Dangat, Prof M. T. "Industrial Internet of Things (IIOT)." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (2024): 2721–26. http://dx.doi.org/10.22214/ijraset.2024.59103.

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Abstract: Industrial Internet of Things (IOT) is a part of IOT (Internet of Things) technology that has provided an opportunity to build powerful industrial system and applications by using different I0T devices like sensors, actuators, Resistance Temperature Detectors, pH analyzers, Level Transmitters, RFIDs, wireless and mobile devices. High-speed internet has given a new hike in development of IOT devices, as it makes remote access facility at ease. Various IOT applications and systems have been developed and deployed in recent years. To understand the development of IOТ technology, this st

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Gaber, Tarek, Joseph B. Awotunde, Sakinat O. Folorunso, Sunday A. Ajagbe, and Esraa Eldesouky. "Industrial Internet of Things Intrusion Detection Method Using Machine Learning and Optimization Techniques." Wireless Communications and Mobile Computing 2023 (April 30, 2023): 1–15. http://dx.doi.org/10.1155/2023/3939895.

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The emergence of the Internet of Things (IoT) has witnessed immense growth globally with the use of various devices found in home, transportation, healthcare, and industry. The deployment and implementation of the IoT paradigm in industrial settings lead to the architectural changes of Industrial Automation and Control Systems (IACS) plus the countless connectivity of industrial systems. This resulted in what is referred to as the Industrial Internet of Things (IIoT), which removes the barrier of connecting IACS to isolated conventional ICT platforms. In recent times, the IoT has started hacki

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Yangui, Sami. "A Panorama of Cloud Platforms for IoT Applications Across Industries." Sensors 20, no. 9 (2020): 2701. http://dx.doi.org/10.3390/s20092701.

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Internet of Things (IoT) applications can play a critical role in business and industry. Industrial IoT (IIoT) refers to the use of IoT technologies in manufacturing. Enabling IIoT applications in cloud environments requires the design of appropriate IIoT Platform as-a-Service (IIoT PaaS) to support and ease their provisioning (i.e., development, deployment and management). This paper critically reviews the IIoT PaaS architectures proposed so far in the relevant literature. It only surveys the architectures that are suitable for IIoT applications provisioning and it excludes regular IoT soluti

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AB HAMID, MOHD RAMADAN, ATHIRAH SORFINA SA’ARI, NURI NAQIEYAH RADZUAN, and SITI SABARIAH BUHARI. "THE USE OF INTERNET-BASED TECHNOLOGIES IN DIETARY AND PHYSICAL ACTIVITY INTERVENTION FOR PATIENTS WITH HYPERTENSION: A SYSTEMATIC REVIEW." JOURNAL OF SUSTAINABILITY SCIENCE AND MANAGEMENT 17, no. 12 (2022): 188–226. http://dx.doi.org/10.46754/jssm.2022.12.017.

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The Internet of Things (IoT) is widely used in Internet-based technology (IBT) interventions for hypertension management. However, little is known about the impact of IBT and how the IoT is used to manage hypertension. This article analysed the types of IBT, the features of IoT and the impact of IBT. This review included 14 articles selected from the following databases: Scopus, Web of Science, PubMed, ScienceDirect and Google Scholar. Randomised controlled trials (RCT) and quasi-experimental studies published from 2014 to 2021 in English focused on managing dietary intake and physical activit

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Abosata, Nasr, Saba Al-Rubaye, Gokhan Inalhan, and Christos Emmanouilidis. "Internet of Things for System Integrity: A Comprehensive Survey on Security, Attacks and Countermeasures for Industrial Applications." Sensors 21, no. 11 (2021): 3654. http://dx.doi.org/10.3390/s21113654.

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The growth of the Internet of Things (IoT) offers numerous opportunities for developing industrial applications such as smart grids, smart cities, smart manufacturers, etc. By utilising these opportunities, businesses engage in creating the Industrial Internet of Things (IIoT). IoT is vulnerable to hacks and, therefore, requires various techniques to achieve the level of security required. Furthermore, the wider implementation of IIoT causes an even greater security risk than its benefits. To provide a roadmap for researchers, this survey discusses the integrity of industrial IoT systems and h

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Xing, Zhihuan, Yuqing Lan, Zhongjie Sun, et al. "IoT OS Platform: Software Infrastructure for Next-Gen Industrial IoT." Applied Sciences 14, no. 13 (2024): 5370. http://dx.doi.org/10.3390/app14135370.

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With the rapid development of the Internet of Things (IoT), the growth of the Industrial Internet of Things (IIoT) applied in the industrial sector has also been swift. However, in practical applications, there are still issues such as the misalignment between theory and application, the lack of a unified standardization framework, and the frequent occurrence of data silos. These issues limit the maintainability and scalability of IIoT systems and increase the digitalization costs for enterprises. Based on this, drawing from the design principles of classic general-purpose operating systems, w

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Ma, Jinnan, Xuekui Shangguan, and Ying Zhang. "IoT Security Review: A Case Study of IIoT, IoV, and Smart Home." Wireless Communications and Mobile Computing 2022 (August 21, 2022): 1–10. http://dx.doi.org/10.1155/2022/6360553.

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The Internet of Things (IoT) acts as a tremendous network that is constructed by fusing diverse sensors. IoT can achieve the interconnection of individuals, things, and machines at any place and time and improve the function performance of network applications. However, the security of IoT has always been a major problem that may limit the application perspective of IoT technologies. Nowadays, industrial IOT (IIoT), Internet of vehicles (IoV), and smart home have become the three primary emerging perspectives of the current IoT studies, and it is necessary to systematically highlight the secur

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Kant, Daniel, Andreas Johannsen, and Reiner Creutzburg. "Analysis of IoT Security Risks based on the exposure of the MQTT Protocol." Electronic Imaging 2021, no. 3 (2021): 96–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.3.mobmu-096.

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Due to the tremendous growth of Internet of Things (IoT) applications - e.g. smart homes, smart grids, smart factories – and the emerging integration into industrial systems, the cyber threat landscape for IoT and IIoT applications is rapidly evolving. Security by Design principles are still widely neglected in the design of IoT devices and protocols. For consumer IoT, the privacy of the applicant can be compromised when devices are inappropriately secured. With regard to Industrial IoT, the usage of insecure IIoT protocols such as MQTT can have a severe impact on the industrial environment su

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Essop, Ismael, José C. Ribeiro, Maria Papaioannou, Georgios Zachos, Georgios Mantas, and Jonathan Rodriguez. "Generating Datasets for Anomaly-Based Intrusion Detection Systems in IoT and Industrial IoT Networks." Sensors 21, no. 4 (2021): 1528. http://dx.doi.org/10.3390/s21041528.

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Over the past few years, we have witnessed the emergence of Internet of Things (IoT) and Industrial IoT networks that bring significant benefits to citizens, society, and industry. However, their heterogeneous and resource-constrained nature makes them vulnerable to a wide range of threats. Therefore, there is an urgent need for novel security mechanisms such as accurate and efficient anomaly-based intrusion detection systems (AIDSs) to be developed before these networks reach their full potential. Nevertheless, there is a lack of up-to-date, representative, and well-structured IoT/IIoT-specif

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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

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Dorage, Sachin Vasant. "Cybersecurity in Industrial Management within the Internet of Things." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 008 (2024): 1–16. http://dx.doi.org/10.55041/ijsrem37081.

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Recently, it has become important to integrate cybersecurity threat management policies in the management of any organization that uses information systems, whether large, medium or even small organizations. People live in the center of the field of smart homes, business opportunities of smart industrial cities and healthcare. Even as IoT security issues become increasingly ubiquitousin the industrial realm, they face the added challenge of evolving networks. Architecture towards the integration of information technology (IT) and operational technology (OT) networks. This article analyzes the

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Memić, Belma, Adisa Hasković Džubur, and Elma Avdagic-Golub. "Green IoT: sustainability environment and technologies." Science, Engineering and Technology 2, no. 1 (2022): 24–29. http://dx.doi.org/10.54327/set2022/v2.i1.25.

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The Internet of Things (IoT) connects everyone in the smart world, so the energy consumption of IoT technology is a challenging and attractive research area. The development of technology in the field of IoT has changed the way of life and enriched society with its benefits, but we must not ignore the fact that IoT consumes energy, contributes to toxic pollution, and generates electrical waste. To increase the benefits and reduce the harmfulness of IoT, there are increasing tendencies to move towards green IoT (G-IoT). The G-IoT is considered the future environmentally friendly IoT. Greening I

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Memić, Belma, Džubur Adisa Hasković, and Elma Avdagić-Golub. "Green IoT: sustainability environment and technologies." Science, Engineering and Technology 2, no. 1 (2022): 24–29. https://doi.org/10.54327/set2022/v2.i1.25.

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The Internet of Things (IoT) connects everyone in the smart world, so the energy consumption of IoT technology is a challenging and attractive research area. The development of technology in the field of IoT has changed the way of life and enriched society with its benefits, but we must not ignore the fact that IoT consumes energy, contributes to toxic pollution, and generates electrical waste. To increase the benefits and reduce the harmfulness of IoT, there are increasing tendencies to move towards green IoT (G-IoT). The G-IoT is considered the future environmentally friendly IoT. Greening I

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Orama, Sunita, Pawandeep Toppo, Ananya Shubhadarsinee, Rajeev Ranjan Seth, and Puspanjali Goudae. "Artificial Intelligence and Machine Learning-Based Internet of Things (IOT) and Industrial IOT(IIOT)." International Journal of Research Publication and Reviews 6, no. 6 (2025): 743–49. https://doi.org/10.55248/gengpi.6.0625.2031.

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Oh, Se-Ra, Young-Gab Kim, and Sanghyun Cho. "An Interoperable Access Control Framework for Diverse IoT Platforms Based on OAuth and Role." Sensors 19, no. 8 (2019): 1884. http://dx.doi.org/10.3390/s19081884.

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Due to the rapid development of Internet of Things (IoT), IoT platforms that can provide common functions for things are becoming increasingly important. However, access control frameworks in diverse IoT platforms have been developed for individual security goals, designs, and technologies. In particular, current OAuth-based access control frameworks that are widely used in IoT research have not been providing interoperability among IoT platforms even though sharing resources and services is a critical issue for IoT platforms. Therefore, we analyze the main requirements for an IoT access contr

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Farooq, Muhammad Shoaib, Muhammad Abdullah, Shamyla Riaz, et al. "A Survey on the Role of Industrial IoT in Manufacturing for Implementation of Smart Industry." Sensors 23, no. 21 (2023): 8958. http://dx.doi.org/10.3390/s23218958.

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The Internet of Things (IoT) is an innovative technology that presents effective and attractive solutions to revolutionize various domains. Numerous solutions based on the IoT have been designed to automate industries, manufacturing units, and production houses to mitigate human involvement in hazardous operations. Owing to the large number of publications in the IoT paradigm, in particular those focusing on industrial IoT (IIoT), a comprehensive survey is significantly important to provide insights into recent developments. This survey presents the workings of the IoT-based smart industry and

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C. Sailaja. "Industrial Internet of Things – An Overview." December 2022 4, no. 4 (2022): 257–71. http://dx.doi.org/10.36548/jismac.2022.4.003.

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Internet of Things (IoT) is a network of intelligent objects (smart sensors) that are connected and accessible to the Internet through devices such as routers to exchange data. Many useful applications can be developed using IoT. IoT has brought a change in such a way that everything around us can be turned into smart devices e.g., smart cars, smart homes, smart parking, smart cities etc., thereby connecting human, machine & things seamlessly. The advent of cheaper processing power, communication cost and some marketing have created the IoT of today. When the principles of IoT are applied

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Rup, Clément, and Eddy Bajic. "Green and Sustainable Industrial Internet of Things Systems Leveraging Wake-Up Radio to Enable On-Demand IoT Communication." Sustainability 16, no. 3 (2024): 1160. http://dx.doi.org/10.3390/su16031160.

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The industrial Internet of things (IIoT) is a major lever in Industry 4.0 development, where reducing the carbon footprint and energy consumption has become crucial for modern companies. Today’s IIoT device infrastructure wastes large amounts of energy on wireless communication, limiting device lifetime and increasing power consumption and battery requirements. Communication capabilities seriously affect the responsiveness and availability of autonomous IoT devices when collecting data and retrieving commands to/from higher-level applications. Thus, the objective of optimizing communication re

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Mali, Supriya. "Industrial Iot vs. Iot: Understanding the Differences and Impacts of Recent Technological Advancements." International Journal of Advance and Applied Research 6, no. 25 (2025): 202–6. https://doi.org/10.5281/zenodo.15295272.

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<strong>Abstract:</strong> Our involvement with technology has been totally transformed by the Internet of Things (IoT), which enables smooth communication and data sharing among multiple devices. However, a subset of the Internet of Things specifically created for industrial application is known as the Industrial Internet of Things (IIoT). This paper aims to describe the distinctions between IoT and IIoT, looking at their unique characteristics, applications, and the ways in which new technological developments have affected both domains. In order to fully understand the distinct roles that I

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Li, Keng, Yu Zhang, Yong Huang, Zhiwei Tian, and Ziqin Sang. "Framework and Capability of Industrial IoT Infrastructure for Smart Manufacturing." Standards 3, no. 1 (2023): 1–18. http://dx.doi.org/10.3390/standards3010001.

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The Internet of Things (IoT) and smart manufacturing (SM) are mutually reinforcing. The establishment of IoT-based common facilities for SM is the premise of building SM system. Industrial IoT (IIoT) infrastructure for SM refers to common facilities based on IoT that support SM in industries or sectors, and plays a dominant role and faces severe challenges in the intelligence of SM. The infrastructure is independent of the products and production process in a specific factory. This paper develops conceptual and capability frameworks of IIoT infrastructure from a unified perspective of IIoT-rel

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Mahalingam, Anandaraj, Ganeshkumar Perumal, Gopalakrishnan Subburayalu, et al. "ROAST-IoT: A Novel Range-Optimized Attention Convolutional Scattered Technique for Intrusion Detection in IoT Networks." Sensors 23, no. 19 (2023): 8044. http://dx.doi.org/10.3390/s23198044.

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The Internet of Things (IoT) has significantly benefited several businesses, but because of the volume and complexity of IoT systems, there are also new security issues. Intrusion detection systems (IDSs) guarantee both the security posture and defense against intrusions of IoT devices. IoT systems have recently utilized machine learning (ML) techniques widely for IDSs. The primary deficiencies in existing IoT security frameworks are their inadequate intrusion detection capabilities, significant latency, and prolonged processing time, leading to undesirable delays. To address these issues, thi

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Alasmary, Hisham. "RDAF-IIoT: Reliable Device-Access Framework for the Industrial Internet of Things." Mathematics 11, no. 12 (2023): 2710. http://dx.doi.org/10.3390/math11122710.

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The Internet of Things (IoT) has experienced significant growth and is now a fundamental part of the next-generation Internet. Alongside improving daily life, IoT devices generate and collect vast amounts of data that can be leveraged by AI-enabled big data analytics for diverse applications. However, due to the machine-to-machine communication inherent in IoT, ensuring data security and privacy is crucial to mitigate various malicious cyber attacks, including man-in-the-middle, impersonation, and data poisoning attacks. Nevertheless, designing an efficient and adaptable IoT security framework

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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 (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 limi

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Caesarendra, Wahyu, Bobby Pappachan, Tomi Wijaya, et al. "An AWS Machine Learning-Based Indirect Monitoring Method for Deburring in Aerospace Industries Towards Industry 4.0." Applied Sciences 8, no. 11 (2018): 2165. http://dx.doi.org/10.3390/app8112165.

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The number of studies on the Internet of Things (IoT) has grown significantly in the past decade and has been applied in various fields. The IoT term sounds like it is specifically for computer science but it has actually been widely applied in the engineering field, especially in industrial applications, e.g., manufacturing processes. The number of published papers in the IoT has also increased significantly, addressing various applications. A particular application of the IoT in these industries has brought in a new term, the so-called Industrial IoT (IIoT). This paper concisely reviews the

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Kilichev, Dusmurod, Dilmurod Turimov, and Wooseong Kim. "Next–Generation Intrusion Detection for IoT EVCS: Integrating CNN, LSTM, and GRU Models." Mathematics 12, no. 4 (2024): 571. http://dx.doi.org/10.3390/math12040571.

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In the evolving landscape of Internet of Things (IoT) and Industrial IoT (IIoT) security, novel and efficient intrusion detection systems (IDSs) are paramount. In this article, we present a groundbreaking approach to intrusion detection for IoT-based electric vehicle charging stations (EVCS), integrating the robust capabilities of convolutional neural network (CNN), long short-term memory (LSTM), and gated recurrent unit (GRU) models. The proposed framework leverages a comprehensive real-world cybersecurity dataset, specifically tailored for IoT and IIoT applications, to address the intricate

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Cvjetkovic, Vladimir M. "Pocket Labs Supported IoT Teaching." International Journal of Engineering Pedagogy (iJEP) 8, no. 2 (2018): 32. http://dx.doi.org/10.3991/ijep.v8i2.8129.

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IoT is both a concept and a specific platform with large variety of applications that rapidly become inseparable part of everyday life not only improving it, but making it more interesting and fun. ICT based, it is devoted to interactions with environment that are usually not available with traditional ICT equipment and platforms. IoT is at the same time both complementary and compatible with exist-ing non IoT world, which offers computing power and resources to IoT, making it a unique and powerful combination. Pocket Lab is a relatively new teaching concept that supports students’ creativity

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(Corresponding Author), Omer Fawzi Awad, Layth Rafea Hazim, Abdulrahman Ahmed Jasim, and Oguz Ata. "ENHANCING IIOT SECURITY WITH MACHINE LEARNING AND DEEP LEARNING FOR INTRUSION DETECTION." Malaysian Journal of Computer Science 37, no. 2 (2024): 139–53. http://dx.doi.org/10.22452/mjcs.vol37no2.1.

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The rapid growth of the Internet of Things (IoT) and digital industrial devices has significantly impacted various aspects of life, underscoring the importance of the Industrial Internet of Things (IIoT). Given its importance in industrial contexts that affect human life, the IIoT represents a key subset of the broader IoT landscape. Due to the proliferation of sensors in smart devices, which are viewed as points of contact, as the gathering of data and information regarding the IIoT systems and devices operating on the IoT, there is an urgent requirement for developing effective security meth

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Zhang, Yongqiang, Hongchang Yu, Wanzhen Zhou, and Menghua Man. "Application and Research of IoT Architecture for End-Net-Cloud Edge Computing." Electronics 12, no. 1 (2022): 1. http://dx.doi.org/10.3390/electronics12010001.

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At the edge of the network close to the source of the data, edge computing deploys computing, storage and other capabilities to provide intelligent services in close proximity and offers low bandwidth consumption, low latency and high security. It satisfies the requirements of transmission bandwidth, real-time and security for Internet of Things (IoT) application scenarios. Based on the IoT architecture, an IoT edge computing (EC-IoT) reference architecture is proposed, which contained three layers: The end edge, the network edge and the cloud edge. Furthermore, the key technologies of the app

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Hazra, Abhishek, Mainak Adhikari, Tarachand Amgoth, and Satish Narayana Srirama. "A Comprehensive Survey on Interoperability for IIoT: Taxonomy, Standards, and Future Directions." ACM Computing Surveys 55, no. 1 (2023): 1–35. http://dx.doi.org/10.1145/3485130.

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In the era of Industry 4.0, the Internet-of-Things (IoT) performs the driving position analogous to the initial industrial metamorphosis. IoT affords the potential to couple machine-to-machine intercommunication and real-time information-gathering within the industry domain. Hence, the enactment of IoT in the industry magnifies effective optimization, authority, and data-driven judgment. However, this field undergoes several interoperable issues, including large numbers of heterogeneous IoT gadgets, tools, software, sensing, and processing components, joining through the Internet, despite the

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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 (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 effic

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Qin, Zhenkai, Qining Luo, Xunyi Nong, Xiaolong Chen, Hongfeng Zhang, and Cora Un In Wong. "MAS-LSTM: A Multi-Agent LSTM-Based Approach for Scalable Anomaly Detection in IIoT Networks." Processes 13, no. 3 (2025): 753. https://doi.org/10.3390/pr13030753.

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The increasing complexity of interconnected systems in the Internet of Things (IoT) demands advanced methodologies for real-time security and management. This study presents MAS-LSTM, an anomaly-detection framework that combines multi-agent systems (MASs) with long short-term memory (LSTM) networks. By training agents on IoT traffic datasets (NF-ToN-IoT, NF-BoT-IoT, and their V2 versions), MAS-LSTM offers scalable, decentralized anomaly detection. The LSTM networks capture temporal dependencies, enhancing anomaly detection in time-series data. This framework overcomes key limitations of existi

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Arora, Pallavi, Baljeet Kaur, and Marcio Andrey Teixeira. "CYBERSECURITY IN IIOT AND IOMT NETWORKS USING MACHINE LEARNING ALGORITHMS - A SURVEY." ICTACT Journal on Communication Technology 12, no. 4 (2021): 2577–81. http://dx.doi.org/10.21917/ijct.2021.0381.

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Rapid advancements in micro-computing, mini-hardware manufacturing, and machine-to-machine (M2M) communications have allowed for innovative Internet of Things (IoT) solutions to redefine numerous networking applications. With the emergence of IoT branches such as the Internet of Medical Things (IoMT) and the Industrial Internet of Things (IIoT), healthcare and industrial systems have been changed by IoT. This paper presents an overview of the technologies that are being used to secure IoMT as well as IIoT frameworks seen within the research articles.

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Arat, Ferhat, and Sedat Akleylek. "Modified graph-based algorithm to analyze security threats in IoT." PeerJ Computer Science 9 (December 8, 2023): e1743. http://dx.doi.org/10.7717/peerj-cs.1743.

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In recent years, the growing and widespread usage of Internet of Things (IoT) systems has led to the emergence of customized structures dependent on these systems. Industrial IoT (IIoT) is a subset of IoT in terms of applications and usage areas. IIoT presents many participants in various domains, such as healthcare, transportation, agriculture, and manufacturing. Besides the daily life benefits, IIoT technology provides major contributions via the Industrial Control System (ICS) and intelligent systems. The convergence of IoT and IIoT systems brings some integration and interoperability probl

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Afrozah Nadeem. "Application of Internet of Things for Smart City and Environmental Solutions." Lahore Garrison University Research Journal of Computer Science and Information Technology 4, no. 2 (2020): 105–16. http://dx.doi.org/10.54692/lgurjcsit.2020.0402137.

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Internet of Things (IoT) is the latest concept and considered the essential infrastructure for smart cities. However, IoT is allowing smart cities to take the initiative of starting different projects and its deployment all over the world. For Information & Communication Technologies (ICT) solutions, IoT is a compatible way to combine the numerous sensors. Communication of the Internet of Things is the soul of the smart cities. The scopeof IoT in smart cities is connected and deployed with over 50 billion objects this year and more in the future too. This paper deals with concern regarding

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Deshpande, Sujit N., and Rashmi M. Jogdand. "A Survey on Internet of Things (IoT), Industrial IoT (IIoT) and Industry 4.0." International Journal of Computer Applications 175, no. 27 (2020): 20–27. http://dx.doi.org/10.5120/ijca2020920790.

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Shafiq, Muhammad, Zhihong Tian, Ali Kashif Bashir, Korhan Cengiz, and Adnan Tahir. "SoftSystem: Smart Edge Computing Device Selection Method for IoT Based on Soft Set Technique." Wireless Communications and Mobile Computing 2020 (October 9, 2020): 1–10. http://dx.doi.org/10.1155/2020/8864301.

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The Internet of Things (IoT) is growing day by day, and new IoT devices are introduced and interconnected. Due to this rapid growth, IoT faces several issues related to communication in the edge computing network. The critical issue in these networks is the effective edge computing IoT device selection whenever there are several edge nodes to carry information. To overcome this problem, in this paper, we proposed a new framework model named SoftSystem based on the soft set technique that recommends useful IIoT devices. Then, we proposed an algorithm named Softsystemalgo. For the proposed syste

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Kotaiah, Dharavath, and Chitti Ravi Kiran. "Network Security Key Areas of IoT and IIOT- with Connected Devices Privacy and Security." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (2023): 2076–82. http://dx.doi.org/10.22214/ijraset.2023.49873.

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Abstract: With the accelerating pace of technological advancement, demand for IoT app development is at an all-time high. Statistic predicts that $1.1 trillion will be spent globally on IoT. (approx.).Modern IoT apps and solutions will unquestionably become more popular as a result of this. Who will get the newest item into consumers' hands first among manufacturers is still a point of contention. Companies can profit much from IoT app development, but one of the key considerations is security. This post focused on IoT security issues and solutions. IoT solutions can be implemented by business

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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 (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 techn

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Gavadi, Rashmi. "A Comprehensive Review and Methodological Approach to IoT Integration in Smart Cities." International Journal for Research in Applied Science and Engineering Technology 13, no. 2 (2025): 1457–63. https://doi.org/10.22214/ijraset.2025.67071.

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The concept of the "Smart City" originated in the 1990s, initially focusing on the impact of Information and Communication Technologies X(ICT) on urban infrastructures. Today, the extensive implementation of the Internet of Things (IoT) has propelled smart city projects worldwide. IoT connects billions of devices, integrating sensors with ICT solutions to enhance urban living. Smart cities aim to use resources sustainably, balancing social, environmental, and economic costs. They leverage technology and data to improve services like traffic management, waste disposal, and energy conservation,

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Md Hossain and Md Bahar Uddin. "Digital Twins and Federated Learning for Industrial Internet of Things." International Journal of Science and Research Archive 16, no. 1 (2025): 729–36. https://doi.org/10.30574/ijsra.2025.16.1.2087.

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The Internet of Things (IoT) is penetrating various facets of our daily life with the proliferation of intelligent services and applications empowered by artificial intelligence (AI). AI techniques require centralized data collection and processing that may not be feasible in realistic application scenarios due to the high scalability of modern IoT networks and growing data privacy concerns. Federated Learning (FL) has emerged as a distributed collaborative AI approach that can enable many intelligent IoT applications by allowing for AI training at distributed IoT devices without the need for

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Petrenko, Sergei. "Cyber Resilient Platform for Internet of Things (IIOT/IOT)ED Systems: Survey of Architecture Patterns." Voprosy kiberbezopasnosti, no. 2(42) (2021): 81–91. http://dx.doi.org/10.21681/2311-3456-2021-2-81-91.

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Purpose of the article: development of tools for building the cyber resilient platform for Internet of things (IIoT/IoT). The urgency of development the cyber resilient platform for Internet of things (IIoT/IoT) is to provide the required security and resilience of critical information infrastructure of the Russian Federation in the face of rising security threats, and imperfection of the known models, methods and means for data collection and processing in IIoT/IoT networks, based on the wireless technology Sigfox, LoRaWaN, “Strij/”Vaviot” (XNB/Nb-Fi), NBIoT. Research methods: It uses the aut

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Mohammed Sadeeq, Mohammed, Nasiba M. Abdulkareem, Subhi R. M. Zeebaree, Dindar Mikaeel Ahmed, Ahmed Saifullah Sami, and Rizgar R. Zebari. "IoT and Cloud Computing Issues, Challenges and Opportunities: A Review." Qubahan Academic Journal 1, no. 2 (2021): 1–7. http://dx.doi.org/10.48161/qaj.v1n2a36.

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With the exponential growth of the Industrial Internet of Things (IIoT), multiple outlets are constantly producing a vast volume of data. It is unwise to locally store all the raw data in the IIoT devices since the energy and storage spaces of the end devices are strictly constrained. self-organization and short-range Internet of Things (IoT) networking also support outsourced data and cloud computing, independent of the distinctive resource constraint properties. For the remainder of the findings, there is a sequence of unfamiliar safeguards for IoT and cloud integration problems. The deliver

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HRYNCHAK, N. "Analysis of the Impact of the Internet of Things Technology on the Development of the Transport and Logistics Market." Scientific Bulletin of the National Academy of Statistics, Accounting and Audit, no. 4 (February 20, 2020): 74–82. http://dx.doi.org/10.31767/nasoa.4.2019.07.

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Internet of Things (IoT) is becoming a technology of great importance in the current era of the international economy development, with essential impact on all the social systems. Logistics is a sector undergoing deep innovation-driven change in the latest decades. It was information and communication technologies (ICT) that greatly contributed in the growth of the logistics market. These ICT-specific innovations allow connected logistics services to generate big scopes of data and diverse information that can be stored and analyzed with high accuracy. On account of this, market analysts belie

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Sobchuk, Valentyn, Roman Pykhnivskyi, Oleg Barabash, Serhii Korotin, and Shakhin Omarov. "SEQUENTIAL INTRUSION DETECTION SYSTEM FOR ZERO-TRUST CYBER DEFENSE OF IOT/IIOT NETWORKS." Advanced Information Systems 8, no. 3 (2024): 92–99. http://dx.doi.org/10.20998/2522-9052.2024.3.11.

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Relevance. The Internet of Things (IoT) and the Industrial Internet of Things (IIoT) and their widespread application make them attractive targets for cyber attacks. Traditional cybersecurity methods such as firewalls and antivirus software are not always effective in protecting IoT/IIoT networks due to their heterogeneity and large number of connected devices. The zero-trust principle can be more effective in protecting IoT/IIoT networks. This principle assumes on no inherent trustworthiness of any user, device, or traffic, requiring authorization and verification before accessing any network

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Liao, Xiaoqun, Mohammad Faisal, Qing QingChang, and Amjad Ali. "Evaluating the Role of Big Data in IIOT-Industrial Internet of Things for Executing Ranks Using the Analytic Network Process Approach." Scientific Programming 2020 (October 17, 2020): 1–7. http://dx.doi.org/10.1155/2020/8859454.

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Due to the enhancements of Internet of Things (IoT) and sensors deployments, the production of big data in Industrial Internet of Things (IIoT) is increased. The accessing and processing of big data become a challenging issue due to the limited storage space, computational time, networking, and IoT devices end. IoT and big data are well thought-out to be the key concepts when describing new information architecture projects. The techniques, tools, and methods that help to provide better solutions for IoT and big data can have an important role to play in the architecture of business. Different

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Dangana, Muhammad, Shuja Ansari, Qammer H. Abbasi, Sajjad Hussain, and Muhammad Ali Imran. "Suitability of NB-IoT for Indoor Industrial Environment: A Survey and Insights." Sensors 21, no. 16 (2021): 5284. http://dx.doi.org/10.3390/s21165284.

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The Internet of Things (IoT) and its applications in industrial settings are set to bring in the fourth industrial revolution. The industrial environment consisting of high profile manufacturing plants and a variety of equipment is inherently characterized by high reflectiveness, causing significant multi-path components that affect the propagation of wireless communications—a challenge among others that needs to be resolved. This paper provides a detailed insight into Narrow-Band IoT (NB-IoT), Industrial IoT (IIoT), and Wireless Sensor Networks (WSN) within the context of indoor industrial en

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Shevtsov, Vadim, and Nikita Kasimovsky. "Threat and Vulnerability Analysis of IoT and IIoT Concepts." NBI Technologies, no. 3 (March 2021): 28–35. http://dx.doi.org/10.15688/nbit.jvolsu.2020.3.5.

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IoT and IIoT are new information technologies. They are very efficient solutions for home, industry and infrastructure. A lot of complex processes can be implemented using this systems. The popularity of the industrial Internet of things is steadily growing along with the development of the Internet of things. Both of these approaches involve the exchange of data over the Internet, use of common hardware platforms and are managed by using specialized software, and this leads to an increase in the number of common vulnerabilities and possible attacks on industrial facilities. The Frost & Su

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Poonkuzhal, S., M. Shobana, and J. Jeyalakshmi. "A deep transfer learning approach for IoT/IIoT cyber attack detection using telemetry data." Neural Network World 33, no. 4 (2023): 225–44. http://dx.doi.org/10.14311/nnw.2023.33.014.

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The rise of internet connectivity across the globe increases the count of IoT (internet of things)/IIoT (industrial internet of things) devices exponentially. The objects/devices which are connected to the internet are always prone to malicious attacks at various levels, such as physical, network, fog, and applications, which exist in the IoT architecture. Many researchers have addressed this issue and designed their own solutions based on machine and deep learning techniques. It is undeniable that deep learning outperforms machine learning (ML), but it necessitates a massive amount of dataset

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Jin Ho Park, Jin Ho Park, Sushil Kumar Singh Jin Ho Park, Mikail Mohammed Salim Sushil Kumar Singh, Abir EL Azzaoui Mikail Mohammed Salim, and Jong Hyuk Park Abir EL Azzaoui. "Ransomware-based Cyber Attacks: A Comprehensive Survey." 網際網路技術學刊 23, no. 7 (2022): 1557–64. http://dx.doi.org/10.53106/160792642022122307010.

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<p>Internet of Things (IoT) and sensor devices have been connected due to the development of the IoT and Information Communication Technology (ICT). It offers automatic environments in smart city and IoT scenarios and describes investments in advanced resources in futuristic human lives as sustainable growth of quality-wise life with intelligent infrastructure. Nowadays, IoT devices are continuously increasing and utilized in advanced IoT applications, including Smart Homes, Smart Farming, Smart Enterprises, and others. However, security and privacy are significant challenges with Ransom

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Tole, Sutikno, and Thalmann Daniel. "Insights on the internet of things: past, present, and future directions." TELKOMNIKA (Telecommunication, Computing, Electronics and Control) 20, no. 6 (2022): 1399–420. https://doi.org/10.12928/telkomnika.v20i6.22028.

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The internet of things (IoT) is rapidly expanding and improving operations in a wide range of real-world applications, from consumer IoT and enterprise IoT to manufacturing and industrial IoT (IIoT). Consumer markets, wearable devices, healthcare, smart buildings, agriculture, and smart cities are just a few examples. This paper discusses the current state of the IoT ecosystem, its primary applications and benefits, important architectural stages, some of the problems and challenges it faces, and its future. This paper explains how an appropriate IoT architecture that saves data, analyzes it,

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