Securing the Internet of Things Applications Using Blockchain Technology in the Manufacturing Industry

2021 ◽  
pp. 234-273
Author(s):  
Kamalendu Pal
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Data Acquisition ◽  
Manufacturing Industry ◽  
Economic Benefits ◽  
Future Research ◽  
Time Data ◽  
Enterprise Information ◽  
Blockchain Technology ◽  
Distribution Operations

The manufacturing industry tends to worldwide business operations due to the economic benefits of product design and distribution operations. The design and development of a manufacturing enterprise information system (EIS) involve different types of decision making at various levels of business control. This decision making is complex and requires real-time data collection from machines, business processes, and operating environments. Enterprise information systems are used to support data acquisition, communication, and all decision-making activities. Hence, information technology (IT) infrastructure for data acquisition and sharing affects the performance of an EIS significantly. The chapter highlights the advantages and disadvantages of an integrated internet of things (IoT) and blockchain technology on EIS in the modern manufacturing industry. Also, it presents a review of security-related issues in the context of an EIS consisting of IoT-based blockchain technology. Finally, the chapter discusses the future research directions.

scholarly journals The Importance of Implementing Cyber Physical Systems to Acquire Real-Time Data and Indicators

J ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 147-153
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Antonio Royo ◽  
Juan Carlos Sánchez
Keyword(s):  
Decision Making ◽  
Data Acquisition ◽  
Real Time ◽  
Failure Detection ◽  
Cyber Physical Systems ◽  
Future Research ◽  
Time Data ◽  
Physical Systems ◽  
The Real ◽  
Real Time Data

Among the new trends in technology that have emerged through the Industry 4.0, Cyber Physical Systems (CPS) and Internet of Things (IoT) are crucial for the real-time data acquisition. This data acquisition, together with its transformation in valuable information, are indispensable for the development of real-time indicators. Moreover, real-time indicators provide companies with a competitive advantage over the competition since they enhance the calculus and speed up the decision-making and failure detection. Our research highlights the advantages of real-time data acquisition for supply chains, developing indicators that would be impossible to achieve with traditional systems, improving the accuracy of the existing ones and enhancing the real-time decision-making. Moreover, it brings out the importance of integrating technologies 4.0 in industry, in this case, CPS and IoT, and establishes the main points for a future research agenda of this topic.

Blockchain-Integrated Internet-of-Things Architecture in Privacy Preserving for Large-Scale Healthcare Supply Chain Data

2022 ◽  
pp. 80-124
Author(s):  
Kamalendu Pal
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Information Systems ◽  
Data Collection ◽  
Internet Of Things ◽  
Communication Networks ◽  
Healthcare Industry ◽  
Enterprise Information ◽  
Blockchain Technology ◽  
Significant Research

The supply chain forms the backbone of healthcare industry operations. The design and development of healthcare information systems (HIS) help different types of decision-making at various levels of business operations. Business process management decision-making is a complex task requiring real-time data collection from different operational sources. Hence, information technology (IT) infrastructure for data acquisition and sharing affects the operational effectiveness of the healthcare industry. The internet of things (IoT) applications have drawn significant research interest in the service of the healthcare industry. IoT technology aims to simplify the distributed data collection in healthcare practice, sharing, and processing of information and knowledge across many collaborating partners using suitable enterprise information systems. However, implementing blockchain technology in IoT-based data communication networks demands extra research initiatives. This chapter presents a review of security-related issues in the context of a HIS consisting of IoT-based blockchain technology.

scholarly journals Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management

2021 ◽  
Vol 18 (3) ◽  
pp. 1327
Author(s):  
Leonardo J. Gutierrez ◽  
Kashif Rabbani ◽  
Oluwashina Joseph Ajayi ◽  
Samson Kahsay Gebresilassie ◽  
Joseph Rafferty ◽  
...  
Keyword(s):  
Mental Health ◽  
Internet Of Things ◽  
Data Acquisition ◽  
Identity Management ◽  
Service Level Agreement ◽  
Service Level ◽  
Self Organization ◽  
Future Research ◽  
Study Results ◽  
Open Issues

The increase of mental illness cases around the world can be described as an urgent and serious global health threat. Around 500 million people suffer from mental disorders, among which depression, schizophrenia, and dementia are the most prevalent. Revolutionary technological paradigms such as the Internet of Things (IoT) provide us with new capabilities to detect, assess, and care for patients early. This paper comprehensively survey works done at the intersection between IoT and mental health disorders. We evaluate multiple computational platforms, methods and devices, as well as study results and potential open issues for the effective use of IoT systems in mental health. We particularly elaborate on relevant open challenges in the use of existing IoT solutions for mental health care, which can be relevant given the potential impairments in some mental health patients such as data acquisition issues, lack of self-organization of devices and service level agreement, and security, privacy and consent issues, among others. We aim at opening the conversation for future research in this rather emerging area by outlining possible new paths based on the results and conclusions of this work.

scholarly journals Internet of Things in Asset Management

2018 ◽  
Vol 9 (2) ◽  
pp. 104-119 ◽  
Author(s):  
Sini-Kaisu Kinnunen ◽  
Antti Ylä-Kujala ◽  
Salla Marttonen-Arola ◽  
Timo Kärri ◽  
David Baglee
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Asset Management ◽  
Spare Parts ◽  
Future Research ◽  
Frequency Identification ◽  
Preliminary Study ◽  
Smart Factories ◽  
Factories Of The Future

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.

Sectional Data Acquisition and Control System for Solar Street Lamps Based on Internet of Things

2013 ◽  
Vol 773 ◽  
pp. 148-153 ◽  
Author(s):  
Juan Zhou ◽  
Bing Yan Chen ◽  
Meng Ni Zhang ◽  
Ying Ying Tang
Keyword(s):  
Control System ◽  
Internet Of Things ◽  
Data Acquisition ◽  
Real Time ◽  
Network Flow ◽  
Short Interval ◽  
Management Problem ◽  
Time Data ◽  
Control Centre ◽  
And Control

Aiming at the management problem of real-time data created while intelligent solar street lamps working, sectional data acquisition and control system based on internet of things is introduced in the paper. Communication protocol with unified form and flexible function is designed in the system, and communication address is composed of sectional address and subsection address. Three-level data structure is built in the polling algorithm to trace real-time state of lamps and to detect malfunction in time, which is suitable for sectional lamps management characteristics. The system reflects necessary statistic data and exception information to remote control centre through GPRS to short interval expend on transmission and procession and save network flow and system energy. The result shows the system brings improved management affection and accords with the idea of energy-saving and environmental protection.

scholarly journals Surveying Human Habit Modeling and Mining Techniques in Smart Spaces

2019 ◽  
Vol 11 (1) ◽  
pp. 23 ◽  
Author(s):  
Francesco Leotta ◽  
Massimo Mecella ◽  
Daniele Sora ◽  
Tiziana Catarci
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Literature Review ◽  
Visual Analysis ◽  
Future Research ◽  
Specific Method ◽  
Human Intervention ◽  
Smart Space ◽  
Smart Spaces ◽  
Research Questions

A smart space is an environment, mainly equipped with Internet-of-Things (IoT) technologies, able to provide services to humans, helping them to perform daily tasks by monitoring the space and autonomously executing actions, giving suggestions and sending alarms. Approaches suggested in the literature may differ in terms of required facilities, possible applications, amount of human intervention required, ability to support multiple users at the same time adapting to changing needs. In this paper, we propose a Systematic Literature Review (SLR) that classifies most influential approaches in the area of smart spaces according to a set of dimensions identified by answering a set of research questions. These dimensions allow to choose a specific method or approach according to available sensors, amount of labeled data, need for visual analysis, requirements in terms of enactment and decision-making on the environment. Additionally, the paper identifies a set of challenges to be addressed by future research in the field.

Applications of Secured Blockchain Technology in the Manufacturing Industry

2021 ◽  
pp. 144-162
Author(s):  
Kamalendu Pal
Keyword(s):  
Information System ◽  
Manufacturing Industry ◽  
Research Work ◽  
Future Research ◽  
Specific Reference ◽  
Blockchain Technology ◽  
Business Operations ◽  
Manufacturing Information ◽  
Critical Issues ◽  
And Control

The manufacturing industry inclines to worldwide business operations due to the economic advantage of product design and development. In this way, globalized manufacturing supply chains make their management and control more difficult. As a distributed ledger technology that ensures transparency, trust, traceability, and cybersecurity, blockchain technology promises to ease some global manufacturing operation problems. This chapter presents blockchain technology basics and analyses the issues (e.g., traceability, cybersecurity, flexibility, and smart contracts) related to the blockchain-based manufacturing information system. Next, the chapter presents related research work in the manufacturing industry in recent years. It also includes a classification mechanism for manufacturing information systems based on specific properties. It is followed by discussing the critical issues that need to consider in designing industry-specific reference information system architecture. Finally, the chapter discusses the scope of future research.

Blockchain With the Internet of Things

2021 ◽  
pp. 202-228
Author(s):  
Kamalendu Pal
Keyword(s):  
Information Systems ◽  
Internet Of Things ◽  
Manufacturing Industry ◽  
The Internet ◽  
Enterprise Information ◽  
Privacy And Security ◽  
Security Issues ◽  
Iot Applications ◽  
Iot Devices ◽  
The Internet Of Things

The internet of things (IoT) is ushering a new age of technology-driven automation of information systems into the manufacturing industry. One of the main concerns with IoT systems is the lack of privacy and security preserving schemes for controlling access and ensuring the safety of the data. Many security issues arise because of the centralized architecture of IoT-based information systems. Another concern is the lack of appropriate authentication and access control schemes to moderate the access to information generated by the IoT devices in the manufacturing industry. Hence, the question that arises is how to ensure the identity of the manufacturing machinery or the communication nodes. This chapter presents the advantages of blockchain technology to secure the operation of the modern manufacturing industry in a trustless environment with IoT applications. The chapter reviews the challenges and threats in IoT applications and how integration with blockchain can resolve some of the manufacturing enterprise information systems (EIS).

scholarly journals Whitelists Based Multiple Filtering Techniques in SCADA Sensor Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
DongHo Kang ◽  
ByoungKoo Kim ◽  
JungChan Na ◽  
KyoungSon Jhang
Keyword(s):  
Sensor Networks ◽  
Internet Of Things ◽  
Data Acquisition ◽  
Real Time ◽  
Supervisory Control ◽  
Cyber Attacks ◽  
Computing Environment ◽  
Time Data ◽  
Real Time Data ◽  
Filtering Technique

Internet of Things (IoT) consists of several tiny devices connected together to form a collaborative computing environment. Recently IoT technologies begin to merge with supervisory control and data acquisition (SCADA) sensor networks to more efficiently gather and analyze real-time data from sensors in industrial environments. But SCADA sensor networks are becoming more and more vulnerable to cyber-attacks due to increased connectivity. To safely adopt IoT technologies in the SCADA environments, it is important to improve the security of SCADA sensor networks. In this paper we propose a multiple filtering technique based on whitelists to detect illegitimate packets. Our proposed system detects the traffic of network and application protocol attacks with a set of whitelists collected from normal traffic.

scholarly journals Blockchains and Internet of Things for the Pooling of Warehouse Resources

2020 ◽  
pp. 1-16
Author(s):  
S. Liu ◽  
D. Roy ◽  
S. Hennequin
Keyword(s):  
Internet Of Things ◽  
Information Exchange ◽  
Economic Benefits ◽  
Hybrid Architecture ◽  
Management Problem ◽  
Smart Contracts ◽  
Blockchain Technology ◽  
Industrial Iot ◽  
Definition Of ◽  
Multi Agents

Aims: The purpose of this research paper is the study of the applicability of Blockchain technology and Smart Contracts to manage, control and secure an industrial Internet of Things network (IoT) for pooled warehouses with multiple actors and activities (not only restricted to transport and storage as currently developed in enterprises). Problem: IoT technology enables things to connect and exchange data, resulting in efficiency improvements, economic benefits, reduced human intervention and enabled interactions (information exchange and analysis) between human/machine to machine. However, the main difficulties lie in the definition of a robust global mechanism to secure the IoT, the awareness of resources diversity (heterogeneity of devices), and physical management of IoT. This article will attempt to answer these questionings. Results: To respond to these questions, we propose a hybrid architecture based on blockchains and multi-agents system to secure an industrial IoT corresponding to a pooled warehouse system. The proposed hybrid architecture completely represents our system, with all actors and connected objects in the pooled warehouse strategy. It is composed by two parts: a centralized part based on the multi-agents system to represent dynamic evolutions of actors’ behavior and a decentralized part, which corresponds to our block chain and smart contracts network to dynamically connect actors’ agents to pooled resources. The multi-agent system is coupled with game theory (cooperative game) to have a good systemic representation of our pooled warehouse management problem.

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