scholarly journals Some Security Issues with the Industrial Internet of Things and Comparison to SCADA Systems

2020 ◽  
Vol 19 (2) ◽  
pp. 358-382 ◽  
Author(s):  
Georgi Tsochev ◽  
Radoslav Yoshinov ◽  
Nataly Zhukova

An issue of the Internet of Things security which does not belong to the traditional problem of cybersecurity, as it is a local or distributed monitoring and/or monitoring of physical systems state connected via the Internet, is considered. An architecture of Supervisory Control and Data Acquisition system (SCADA) was considered in previous authors studies. Due to SCADA systems implementation, vulnerabilities and various options of cyberattacks on them were analyzed. As an example, a case study based on trees was considered, and the obtained results were summarized and visualized. The purpose of the paper is to compare new industrial technology of the Internet of things (Industrial Internet of Things) with the previously studied traditional SCADA systems. The Industrial Internet of Things is a network of devices which are connected through communication technologies. Some of the most common security issues for the Industrial Internet of Things are presented in this paper. A brief overview of the structure of the Industrial Internet of things is presented, basic principles of security and the main problems that can arise with devices of the Internet of things are described. Based on research and analysis of the risk of threats in the field of the Industrial Internet of things, a specific case of destructive impact based on a tree analysis is considered as the main approach. A description of an attack tree leaf node value creation and an analysis of results are provided. Analysis of the electronic record change scenario to increase the infusion rate of an overflow pump using a complexity index is performed. The consequences compared to a previous study of SCADA systems are analyzed, and respective conclusion is made.

Author(s):  
Ricardo Raimundo ◽  
Albérico Travassos Rosário

Nowadays, people live amidst the smart home domain, business opportunities in the industrial smart city and health care, though, along with concerns about security. Security is central for IoT systems to protect sensitive data and infrastructure, whilst security issues 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 in what comes to machine resources. In this way, traditional security does not fit in IoT systems. In this vein, the issue of cyber security has become paramount to the Internet of Things (IoT) and Industrial Internet of Things (IIoT) in mitigating cyber security risk for organizations and end users. New cyber security technologies / applications present improvements for IoT security management. Nevertheless, there is a gap on the effectiveness of IoT cyber risk solutions. This review article discusses the, trends around opportunities and threats in cyber security for IIoT.


Author(s):  
Vishwas D. B. ◽  
Gowtham M. ◽  
Gururaj H. L. ◽  
Sam Goundar

In the era of mechanical digitalization, organizations are progressively putting resources into apparatuses and arrangements that permit their procedures, machines, workers, and even the products themselves to be incorporated into a solitary coordinated system for information assortment, information examination, the assessment of organization advancement, and execution improvement. This chapter presents a reference guide and review for propelling an Industry 4.0 venture from plan to execution, according to base on the economic and scientific policy of European parliament, applying increasingly effective creation forms, and accomplishing better profitability and economies of scale may likewise bring about expanded financial manageability. This chapter present the contextual analysis of a few Industry 4.0 applications. Authors give suggestions coordinating the progression of Industry 4.0. This section briefly portrays the advancement of IIoT 4.0. The change of ubiquitous computing through the internet of things has numerous difficulties related with it.


Author(s):  
Yu. MELESHKO

The article considers the problems of the development of the industrial Internet of things in the Republic of Belarus as one of the system-forming technologies in the industrial sector. Based on the analysis of terminological features of the Internet of things, the concept and main characteristics of the industrial Internet of things are revealed. The economic consequences of using this technology in industrial production are shown. The formation and development of the Internet market of things in the Republic of Belarus in the context of its infrastructure component, spheres of use, main producers and consumers is considered. The factors preventing the wider use of the Internet of things in the industry of Belarus, and the development prospects of the market under consideration are revealed.


2021 ◽  
Vol 16 (92) ◽  
pp. 72-81
Author(s):  
Emil A. Gumerov ◽  
◽  
Tamara V. Alekseeva ◽  

Cyber-physical systems are a means of effectively managing industrial applications of the Internet of things. Physical layer cyber-physical system implements the control devices of the industrial Internet of things and intelligent algorithms digital system level provide management and information security applications. Effective management and information security determine the success of the industrial Internet of things, so the research topic is relevant. The purpose of this article is to develop an optimal architecture of a cyber-physical system based on the principles of data processing at the place of their occurrence and the application of a control action at the place of the problem occurrence. The authors were faced with the task of exploring all the possibilities associated with the application of the proposed principles and developing an optimal application architecture for the industrial Internet of things. In the study proposed the concept of intelligent application of industrial Internet of things, which enables processing of continuously generated data in their source and provides application control action to the location of the problem. The proposed solution: a) increases the information security of the industrial application of the Internet of things (data is not transmitted over the network) and b) prevents an attack on the software of the Industrial application of the Internet of things. The solution can be used by developers of industrial IoT systems to effectively launch and implement projects


Robotic systems can already proactively monitor and adapt to changes in a production line. Nowadays, internet of things and robotic systems are key drivers of technological innovation trends.Majorcompanies are now making investments in machine learning-powered approaches to improve in principle all aspects of manufacturing. Connecteddevices, sensors, and similar advancements allow people and companies to do things they wouldn't even dream of in earlier eras.For realizing it time series feature extraction approach is selected.Industrial internet of things solutions are poised to transform many industry verticals including healthcare, retail, automotive, and transport. For many industries, the industrial internet of things has significantly improved reliability, production, and customer satisfaction. The internet of things and robotics arecoming together to create the internet of robotic things. Industrial internet of thingis a subset of industry4.0. Itcan encourage smartness at a bigger level in industrial robots.


Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2019
Author(s):  
Sascha Eichstädt ◽  
Maximilian Gruber ◽  
Anupam Prasad Vedurmudi ◽  
Benedikt Seeger ◽  
Thomas Bruns ◽  
...  

The Internet of Things (IoT) is characterized by a large number of interconnected devices or assets. Measurement instruments in the IoT are typically digital in the sense that their indications are available only as digital output. Moreover, a growing number of IoT sensors contain a built-in pre-processing system, e.g., for compensating unwanted effects. This paper considers the application of metrological principles to such so-called “smart sensors” in the IoT. It addresses the calibration of digital sensors, mathematical and semantic approaches, the communication of data quality and the meaning of traceability for the IoT in general.


2021 ◽  
Vol 5 (2) ◽  
pp. 49-58
Author(s):  
Kremena Marinova-Kostova ◽  
Ivaylo Kostov

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.


2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Ju Li ◽  
Muhammad Nazir Jan ◽  
Mohammad Faisal

Big data is a challenging issue as its volume, shape, and size need to be modified in order to extract important information for a specific purpose. The amount of data is rising with the passage of time. This increase in volume can be a challenging issue to analyze the data for smooth industry and the Internet of things. Several tools, techniques, and mechanisms are available to support the handling and management process of such data. Decision support systems can be one of the important techniques which can support big data in order to make decisions on time. The proposed study presents a decision support system to deal with big data and scientific programming for the Industrial Internet of Things. The study has used the tool of SuperDecisions to plot the hierarchy of situations of big data and scientific programming and to select the best alternative among the available.


2021 ◽  
Vol 11 (20) ◽  
pp. 9393
Author(s):  
Shantanu Pal ◽  
Zahra Jadidi

Industrial Internet of Things (IIoT) can be seen as an extension of the Internet of Things (IoT) services and applications to industry with the inclusion of Industry 4.0 that provides automation, reliability, and control in production and manufacturing. IIoT has tremendous potential to accelerate industry automation in many areas, including transportation, manufacturing, automobile, marketing, to name a few places. When the benefits of IIoT are visible, the development of large-scale IIoT systems faces various security challenges resulting in many large-scale cyber-attacks, including fraudulent transactions or damage to critical infrastructure. Moreover, a large number of connected devices over the Internet and resource limitations of the devices (e.g., battery, memory, and processing capability) further pose challenges to the system. The IIoT inherits the insecurities of the traditional communication and networking technologies; however, the IIoT requires further effort to customize the available security solutions with more focus on critical industrial control systems. Several proposals discuss the issue of security, privacy, and trust in IIoT systems, but comprehensive literature considering the several aspects (e.g., users, devices, applications, cascading services, or the emergence of resources) of an IIoT system is missing in the present state of the art IIoT research. In other words, the need for considering a vision for securing an IIoT system with broader security analysis and its potential countermeasures is missing in recent times. To address this issue, in this paper, we provide a comparative analysis of the available security issues present in an IIoT system. We identify a list of security issues comprising logical, technological, and architectural points of view and consider the different IIoT security requirements. We also discuss the available IIoT architectures to examine these security concerns in a systematic way. We show how the functioning of different layers of an IIoT architecture is affected by various security issues and report a list of potential countermeasures against them. This study also presents a list of future research directions towards the development of a large-scale, secure, and trustworthy IIoT system. The study helps understand the various security issues by indicating various threats and attacks present in an IIoT system.


Author(s):  
Sema Kayapınar Kaya

Industrial Internet of Things (IIoT) refers to the extension of the Internet of Things and It is used for industrial purposes such as manufacturing, supply chain.IIoT can be connected with billions of industrial devices and machines that supported machine learning and big data technology. Because of its potential to authorize faster and better decision making, the IIoT becomes essential for supply chain processes. The IIoT is set to revolutionize the supply chain with both operational efficiencies and revenue opportunities made possible with just this type of transparency. This study attempts to fill this gap by developing a conceptual framework for predicting the advantage of the IIoT and supply chain performance. This chapter synthesizes existing literature reviews and making bibliometric analysis on the IIoT and supply chain. Additionally, It also outlines avenues and opportunities for future research aiming at the contribution of the IIoT to Supply Chain processes.


Sign in / Sign up

Export Citation Format

Share Document