scholarly journals Secure Data of Industrial Internet of Things in a Cement Factory Based on a Blockchain Technology

2021 ◽  
Vol 11 (14) ◽  
pp. 6376
Author(s):  
Samir M. Umran ◽  
Songfeng Lu ◽  
Zaid Ameen Abduljabbar ◽  
Jianxin Zhu ◽  
Junjun Wu
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
Cyber Security ◽  
Cyber Attacks ◽  
Industrial Internet Of Things ◽  
Sensors And Actuators ◽  
Cement Factory ◽  
Blockchain Technology ◽  
Industrial Internet ◽  
And Control

The Industrial Internet of Things (IIoT) has become a pivotal field of development that can increase the efficiency of real-time collection, recording, analysis, and control of the entire activities of various machines, and can actively enhance quality and reduce costs. The traditional IIoT depends on centralized architectures that are vulnerable to several kinds of cyber-attacks, such as bottlenecks and single points of failure. Blockchain technology has emerged to change these architectures to a decentralized form. In modern industrial settings, blockchain technology is utilized for its ability to provide high levels of security, low computational complexity, P2P communication, transparent logs, and decentralization. The present work proposes the use of a private blockchain mechanism for an industrial application in a cement factory, which offers low power consumption, scalability, and a lightweight security scheme; and which can play an efficient role in controlling access to valuable data generated by sensors and actuators. A low-power ARM Cortex-M processor is utilized due to its efficiency in terms of processing cryptographic algorithms, and this plays an important part in improving the computational execution of the proposed architecture. In addition, instead of proof of work (PoW), our blockchain network uses proof of authentication (PoAh) as a consensus mechanism to ensure secure authentication, scalability, speed, and energy efficiency. Our experimental results show that the proposed framework achieves high levels of security, scalability and ideal performance for smart industrial environments. Moreover, we successfully realized the integration of blockchain technology with the industrial internet of things devices, which provides the blockchain technology features and efficient resistance to common cyber-security attacks.

Blockchain for Industrial Internet of Things (IIoT)

2021 ◽  
pp. 32-47
Author(s):  
Rinki Sharma
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Manufacturing Process ◽  
Industrial Internet Of Things ◽  
Research Issues ◽  
Effective Implementation ◽  
Blockchain Technology ◽  
Industrial Internet ◽  
Manufacturing Applications ◽  
Decentralized Architecture

Over the years, the industrial and manufacturing applications have become highly connected and automated. The incorporation of interconnected smart sensors, actuators, instruments, and other devices helps in establishing higher reliability and efficiency in the industrial and manufacturing process. This has given rise to the industrial internet of things (IIoT). Since IIoT components are scattered all over the network, real-time authenticity of the IIoT activities becomes essential. Blockchain technology is being considered by the researchers as the decentralized architecture to securely process the IIoT transactions. However, there are challenges involved in effective implementation of blockchain in IIoT. This chapter presents the importance of blockchain in IIoT paradigm, its role in different IIoT applications, challenges involved, possible solutions to overcome the challenges and open research issues.

scholarly journals Industrial Internet of Things and Fog Computing to Reduce Energy Consumption in Drinking Water Facilities

Processes ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 282 ◽  
Author(s):  
Adrian Korodi ◽  
Ruben Crisan ◽  
Andrei Nicolae ◽  
Ioan Silea
Keyword(s):  
Drinking Water ◽  
Energy Consumption ◽  
Internet Of Things ◽  
Fog Computing ◽  
Industrial Internet Of Things ◽  
Non Invasive ◽  
Data Accumulation ◽  
Industrial Internet ◽  
Reduce Energy Consumption ◽  
And Control

The industry is generally preoccupied with the evolution towards Industry 4.0 principles and the associated advantages as cost reduction, respectively safety, availability, and productivity increase. So far, it is not completely clear how to reach these advantages and what their exact representation or impact is. It is necessary for industrial systems, even legacy ones, to assure interoperability in the context of chronologically dispersed and currently functional solutions, respectively; the Open Platform Communications Unified Architecture (OPC UA) protocol is an essential requirement. Then, following data accumulation, the resulting process-aware strategies have to present learning capabilities, pattern identification, and conclusions to increase efficiency or safety. Finally, model-based analysis and decision and control procedures applied in a non-invasive manner over functioning systems close the optimizing loop. Drinking water facilities, as generally the entire water sector, are confronted with several issues in their functioning, with a high variety of implemented technologies. The solution to these problems is expected to create a more extensive connection between the physical and the digital worlds. Following previous research focused on data accumulation and data dependency analysis, the current paper aims to provide the next step in obtaining a proactive historian application and proposes a non-invasive decision and control solution in the context of the Industrial Internet of Things, meant to reduce energy consumption in a water treatment and distribution process. The solution is conceived for the fog computing concept to be close to local automation, and it is automatically adaptable to changes in the process’s main characteristics caused by various factors. The developments were applied to a water facility model realized for this purpose and on a real system. The results prove the efficiency of the concept.

scholarly journals Security Issues and Software Updates Management in the Industrial Internet of Things (IIoT) Era

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7160
Author(s):  
Imanol Mugarza ◽  
Jose Luis Flores ◽  
Jose Luis Montero
Keyword(s):  
Internet Of Things ◽  
Business Models ◽  
Service Providers ◽  
Leading Edge ◽  
Cyber Attacks ◽  
Industrial Internet Of Things ◽  
Safety Standards ◽  
Security Issues ◽  
Industrial Internet ◽  
Software Updates

New generation Industrial Automation and Control Systems (IACS) are providing advanced connectivity features, enabling new automation applications, services and business models in the Industrial Internet of Things (IIoT) era. Nevertheless, due to the extended attack surface and increasing number of cyber-attacks against industrial equipment, security concerns arise. Hence, these systems should provide enough protection and resiliency against cyber-attacks throughout their entire lifespan, which, in the case of industrial systems, may last several decades. A sound and complete management of security issues and software updates is fundamental to achieve such goal, since leading-edge security countermeasures implemented in the development phase may eventually become out-of-date. In this article, a review of the IEC 62443 industrial security standard concerning the security maintenance of IIoT systems and components is given, along with guidelines for the implementation of such processes. As concluded, the security issues and software updates management shall jointly be addressed by the asset owner, service providers and product suppliers. These security processes should also be compatible with the safety procedures established by safety standards.

scholarly journals Artificial intelligence and cyber-physical mechanical processing systems in digital industry

2018 ◽  
Vol 226 ◽  
pp. 05001
Author(s):  
Yuri Kabaldin ◽  
Dmitrii Shatagin
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Mechanical Processing ◽  
Industrial Internet Of Things ◽  
Cnc Machines ◽  
Blockchain Technology ◽  
Future State ◽  
Industrial Internet ◽  
Technology Group ◽  
And Control

The article suggests new approaches to the creation and control of cyber-physical machining systems in the digital industry. Features of the use of artificial intelligence and the possibilities of big data for analyzing the current and future state of CNC machines are considered. A specialized neuromorphic chip is proposed, with the possibilities for deep learning, for control and sharing knowledge between CNC machines as part of a technology group. The features of the use of blockchain technology in digital industry with the use of the industrial Internet of things are shown.

scholarly journals Blockchain-Enhanced Fair and Efficient Energy Trading in Industrial Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jianwen Hu ◽  
Yuling Chen ◽  
Xiaojun Ren ◽  
Yixian Yang ◽  
Xiaobin Qian ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Consensus Algorithm ◽  
Experimental Simulation ◽  
Industrial Internet Of Things ◽  
Identity Verification ◽  
Energy Trading ◽  
Blockchain Technology ◽  
Transaction Process ◽  
Industrial Internet ◽  
Trading Scheme

As the technical support of the industrial Internet of Things, blockchain technology has been widely used in energy trading, data transactions, and Internet of Vehicles. However, most of the existing energy trading models only address the transaction security and transaction privacy issues that arise in the energy trading process, ignoring the fairness of resource allocation and transaction equity in the trading process. In order to tackle those problems, an energy trading scheme called HO-TRAD is proposed in this paper to improve the efficiency of model trading while ensuring the fairness of energy trading. We propose a new trading strategy in the HO-TRAD energy trading scheme that guarantees fairness in the allocation of trading resources by introducing an entity’s active reputation value. Use smart contracts to achieve transparency and ensure fairness in the transaction process. Based on the identity verification foundation of the consortium chain, the scheme enhances the existing PBFT consensus algorithm and improves the efficiency of model transactions. The experimental simulation indicates that the scheme requires less transaction time and has higher transaction fairness and security.

scholarly journals Renovation of Automation System Based on Industrial Internet of Things: A Case Study of a Sewage Treatment Plant

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2175 ◽  
Author(s):  
Wanhao Zhu ◽  
Zhidong Wang ◽  
Zifan Zhang
Keyword(s):  
Internet Of Things ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Monitoring And Control ◽  
Industrial Internet Of Things ◽  
Wide Area Monitoring ◽  
Industrial Internet ◽  
And Control ◽  
Area Monitoring

The Industrial Internet of Things (IIoT) is of great significance to the improvement of industrial efficiency and quality, and to reduce industrial costs and resources. However, there are few openly-reported practical project applications based on the IIoT up to now. For legacy automation devices in traditional industry, it is especially challenging to realize the upgrading of industrial automation adopting the IIoT technology with less investment. Based on the practical engineering experience, this paper introduces the automation renovation of a sewage treatment plant. The legacy automation devices are upgraded by the central controller of a STM32 processor (Produced by STMicroelectronics company, located in Geneva, Switzerland), and the WeChatApplet (Developed by Tencent company, located in Shenzhen, China) is used as the extended host computer. A set of remote monitoring and control systems of sewage treatment based on the IIoT is built to realize the wide-area monitoring and control of sewage treatment. The paper describes the field hardware system, wide-area monitoring and control application program, management cloud platform and security technologies in detail. The actual operation results show that the monitoring system has the requirements of high accuracy, good real-time performance, reliable operation and low cost.

scholarly journals BLOCKCHAIN TECHNOLOGY AND INDUSTRIAL INTERNET OF THINGS IN THE SUPPLY CHAINS

MEST Journal ◽  
2018 ◽  
Vol 6 (2) ◽  
pp. 39-47 ◽  
Author(s):  
Zoran Cekerevac ◽  
◽  
Lyudmila Prigoda ◽  
Jelena Maletic
Keyword(s):  
Internet Of Things ◽  
Supply Chains ◽  
Industrial Internet Of Things ◽  
Blockchain Technology ◽  
Industrial Internet

A Self-tuning Cyber-Attacks Location Identification Approach for Industrial Internet of Things

2021 ◽  
pp. 1-1
Author(s):  
Abdul Alabassi ◽  
Hadis Karimipour ◽  
Amir Namvar jahromi ◽  
Ali Dehghantanha ◽  
Pierluigi Siano ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Cyber Attacks ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Self Tuning ◽  
Identification Approach ◽  
Location Identification
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