Special Issue "Industrial IoT as IT and OT Convergence: Challenges and Opportunities"

A special issue of IoT (ISSN 2624-831X).

Deadline for manuscript submissions: 30 November 2021.

Special Issue Editors

Prof. Dr. Carlo Giannelli
E-Mail Website
Guest Editor
Department of Mathematics and Computer Science (DMI), University of Ferrara, Via Giuseppe Saragat, 1, 44122 Ferrara, Italy
Interests: IIoT; blockchain; software-defined networking; location/context awareness
Special Issues and Collections in MDPI journals
Dr. Marco Picone
E-Mail Website
Guest Editor
Department of Sciences and Methods for Engineering (DISMI), University of Modena and Reggio Emilia, Via Amendola 2, Pad. Morselli, 42121 Reggio Emilia, Italy
Interests: Internet of Things; fog/edge computing; distributed systems; mobile and pervasive computing; vehicular networks
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

During the last decade, the advent of the Internet of Things (IoT) and its quick and pervasive evolution has significantly revolutionized the information technology ecosystem. The IoT will consist of billions of interconnected smart objects generating and consuming a huge amount of heterogeneous data. This massive amount of information has the power to revolutionize how applications and services are designed and deployed, allowing them to work more efficiently and profitably. In this context, the Industrial Internet of Things (IIoT) represents the fourth industrial revolution (also denoted as Industry 4.0) and is disrupting existing approaches and creating opportunities for growth in terms of innovations, developments, and disruptive business models.

Historically, on the one hand, operation technology (OT) has the role to support physical value creation and manufacturing processes involving devices, sensors, and software required to control and monitor plants and equipment. On the other hand, information technology (IT) combines all necessary information processing and technologies. Traditionally, industries have seen and handled OT and IT as two different specific domains, keeping separate technology stacks, protocols, standards, management, and organizational units. The advent of the IoT is changing this vision and, progressively, these two domains have gradually started to share common approaches and technologies. The convergence of IT and OT together with the IoT represents an appealing challenge for both the academic and the industrial research communities, with the aim of bringing enhanced performance and gains in terms of flexibility and interoperability.

This Special Issue focuses on the innovative developments, technologies, and challenges related to the convergence of IT and OT in IoT application scenarios. This Special Issue seeks the latest findings from research and ongoing projects, also including practical use cases and detailed real-world deployment toward gaining new insights. Additionally, review articles that provide readers with current research trends and solutions are also welcome. The potential topics include, but are not limited to:

  • Industrial Internet of Things use cases
  • Architectural and networking innovation for OT/IT interoperability
  • Cybersecurity for OT/IT convergence
  • IoT security protocols and IoT networking and communication security
  • Adoption of edge and fog computing for the shop floor
  • Cloud and edge/fog synchronization, interoperability, and hybrid architectures
  • Multiple access network technologies management, e.g., 5G/fiber/ethernet
  • Management of protocol heterogeneity and translation
  • Digital twin as a technological enabler for new IIoT architectures and deployments

Prof. Dr. Carlo Giannelli
Dr. Marco Picone
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. IoT is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (4 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Jump to: Review

Article
Towards a Hybrid Deep Learning Model for Anomalous Activities Detection in Internet of Things Networks
IoT 2021, 2(3), 428-448; https://doi.org/10.3390/iot2030022 (registering DOI) - 27 Jul 2021
Abstract
The tremendous number of Internet of Things (IoT) applications, with their ubiquity, has provided us with unprecedented productivity and simplified our daily life. At the same time, the insecurity of these technologies ensures that our daily lives are surrounded by vulnerable computers, allowing [...] Read more.
The tremendous number of Internet of Things (IoT) applications, with their ubiquity, has provided us with unprecedented productivity and simplified our daily life. At the same time, the insecurity of these technologies ensures that our daily lives are surrounded by vulnerable computers, allowing for the launch of multiple attacks via large-scale botnets through the IoT. These attacks have been successful in achieving their heinous objectives. A strong identification strategy is essential to keep devices secured. This paper proposes and implements a model for anomaly-based intrusion detection in IoT networks that uses a convolutional neural network (CNN) and gated recurrent unit (GRU) to detect and classify binary and multiclass IoT network data. The proposed model is validated using the BoT-IoT, IoT Network Intrusion, MQTT-IoT-IDS2020, and IoT-23 intrusion detection datasets. Our proposed binary and multiclass classification model achieved an exceptionally high level of accuracy, precision, recall, and F1 score. Full article
(This article belongs to the Special Issue Industrial IoT as IT and OT Convergence: Challenges and Opportunities)
Show Figures

Figure 1

Article
A Conceptual Architecture in Decentralizing Computing, Storage, and Networking Aspect of IoT Infrastructure
IoT 2021, 2(2), 205-221; https://doi.org/10.3390/iot2020011 - 28 Mar 2021
Cited by 1 | Viewed by 901
Abstract
Since the inception of the Internet of Things (IoT), we have adopted centralized architecture for decades. With the vastly growing number of IoT devices and gateways, this architecture struggles to cope with the high demands of state-of-the-art IoT services, which require scalable and [...] Read more.
Since the inception of the Internet of Things (IoT), we have adopted centralized architecture for decades. With the vastly growing number of IoT devices and gateways, this architecture struggles to cope with the high demands of state-of-the-art IoT services, which require scalable and responsive infrastructure. In response, decentralization becomes a considerable interest among IoT adopters. Following a similar trajectory, this paper introduces an IoT architecture re-work that enables three spheres of IoT workflows (i.e., computing, storage, and networking) to be run in a distributed manner. In particular, we employ the blockchain and smart contract to provide a secure computing platform. The distributed storage network maintains the saving of IoT raw data and application data. The software-defined networking (SDN) controllers and SDN switches exist in the architecture to provide connectivity across multiple IoT domains. We envision all of those services in the form of separate yet integrated peer-to-peer (P2P) overlay networks, which IoT actors such as IoT domain owners, IoT users, Internet Service Provider (ISP), and government can cultivate. We also present several IoT workflow examples showing how IoT developers can adapt to this new proposed architecture. Based on the presented workflows, the IoT computing can be performed in a trusted and privacy-preserving manner, the IoT storage can be made robust and verifiable, and finally, we can react to the network events automatically and quickly. Our discussions in this paper can be beneficial for many people ranging from academia, industries, and investors that are interested in the future of IoT in general. Full article
(This article belongs to the Special Issue Industrial IoT as IT and OT Convergence: Challenges and Opportunities)
Show Figures

Figure 1

Article
Supervisory Control and Data Acquisition Approach in Node-RED: Application and Discussions
IoT 2020, 1(1), 76-91; https://doi.org/10.3390/iot1010005 - 10 Aug 2020
Cited by 1 | Viewed by 1617
Abstract
The Internet of Things (IoT) represents the binder of two worlds, specifically the real one and the digital one: tangible objects become recognizable in the virtual world, having digital matches, thus creating a network that enables the connection in-between the components. With the [...] Read more.
The Internet of Things (IoT) represents the binder of two worlds, specifically the real one and the digital one: tangible objects become recognizable in the virtual world, having digital matches, thus creating a network that enables the connection in-between the components. With the contemporary evolution of this domain, interconnectivity has become a primary fraction of new research and development directions. The Industrial Internet of Things (IIoT) is a concept that covers the more industrial level of the physical and digital connection and stays behind the Industry 4.0 concept. Supervisory control and data acquisition (SCADA) applications are important in the industry, their core being very present as complex products of big companies, at high prices. The Node-RED environment quickly evolved as one of the most important perspectives in IIoT, able to replace, up to a certain level, classic SCADA applications, bringing benefits to the industry. In this paper, the main focus is to evidence this aspect and to develop an application that will demonstrate the functionality of the concept, making use of protocols such as Modbus TCP (Transmission Control Protocol) for interacting with industrial devices and Message Queuing Telemetry Transport (MQTT) to interact with higher-levels, which provides a publish-subscribe structuring and a low band-width usage. The application uses logging and archiving modules based on InfluxDB database and is conceived to achieve the visual supervisory structure as close as possible to well-known SCADA solutions. The presented work results prove the efficiency of the solution. Full article
(This article belongs to the Special Issue Industrial IoT as IT and OT Convergence: Challenges and Opportunities)
Show Figures

Figure 1

Review

Jump to: Research

Review
A Study on Industrial IoT for the Mining Industry: Synthesized Architecture and Open Research Directions
IoT 2020, 1(2), 529-550; https://doi.org/10.3390/iot1020029 - 10 Dec 2020
Cited by 1 | Viewed by 1310
Abstract
The Industrial Internet of Things (IIoT) has the potential to improve the production and business processes by enabling the extraction of valuable information from industrial processes. The mining industry, however, is rather traditional and somewhat slow to change due to infrastructural limitations in [...] Read more.
The Industrial Internet of Things (IIoT) has the potential to improve the production and business processes by enabling the extraction of valuable information from industrial processes. The mining industry, however, is rather traditional and somewhat slow to change due to infrastructural limitations in communication, data management, storage, and exchange of information. Most research efforts so far on applying IIoT in the mining industry focus on specific concerns such as ventilation monitoring, accident analysis, fleet and personnel management, tailing dam monitoring, and pre-alarm system while an overall IIoT architecture suitable for the general conditions in the mining industry is still missing. This article analyzes the current state of Information Technology in the mining sector and identifies a major challenge of vertical fragmentation due to the technological variety of various systems and devices offered by different vendors, preventing interoperability, data distribution, and the exchange of information securely between devices and systems. Based on guidelines and practices from the major IIoT standards, a high-level IIoT architecture suitable for the mining industry is then synthesized and presented, addressing the identified challenges and enabling smart mines by automation, interoperable systems, data distribution, and real-time visibility of the mining status. Remote controlling, data processing, and interoperability techniques of the architecture evolve all stages of mining from prospecting to reclamation. The adoption of such IIoT architecture in the mining industry offers safer mine site for workers, predictable mining operations, interoperable environment for both traditional and modern systems and devices, automation to reduce human intervention, and enables underground surveillance by converging operational technology (OT) and information technology (IT). Significant open research challenges and directions are also studied and identified in this paper, such as mobility management, scalability, virtualization at the IIoT edge, and digital twins. Full article
(This article belongs to the Special Issue Industrial IoT as IT and OT Convergence: Challenges and Opportunities)
Show Figures

Figure 1

Back to TopTop