A Technique for Safely Transforming the Infrastructure of Industrial Control Systems to the Industrial Internet of Things

2020 ◽  
Vol 54 (8) ◽  
pp. 841-849
Author(s):  
A. D. Dakhnovich ◽  
D. A. Moskvin ◽  
D. V. Ivanov
Keyword(s):  
Internet Of Things ◽  
Control Systems ◽  
Industrial Internet Of Things ◽  
Industrial Control ◽  
Industrial Control Systems ◽  
Industrial Internet

Realization of Wireless Communication Card Based on UWB for Industrial Internet of Things

2011 ◽  
Vol 216 ◽  
pp. 360-363 ◽  
Author(s):  
Jun Wang ◽  
Zhan Mei ◽  
Li Feng Wei
Keyword(s):  
Internet Of Things ◽  
Wireless Communication ◽  
Control Systems ◽  
Software Design ◽  
Industrial Internet Of Things ◽  
Industrial Control ◽  
Industrial Control Systems ◽  
Industrial Internet ◽  
Solid Foundation ◽  
Further Development

For further development and building a solid foundation of industrial Internet of things, a wireless communication card (WCC) based on UWB used in industrial Internet of Things (IoT) is designed in the paper. The implementations of WCC are proposed and critical problem on software design is solved. It successfully solves the problem of communication with IO card. At the same time, it provides upgrade program form industrial control systems to industrial Internet of Things.

scholarly journals Communication Protocols of an Industrial Internet of Things Environment: A Comparative Study

2019 ◽  
Vol 11 (3) ◽  
pp. 66 ◽  
Author(s):  
Samer Jaloudi
Keyword(s):  
Internet Of Things ◽  
Response Pattern ◽  
Communication Protocols ◽  
Industrial Applications ◽  
Industrial Internet Of Things ◽  
Industrial Control ◽  
Industrial Control Systems ◽  
Industrial Internet ◽  
Message Structure ◽  
Event Based

Most industrial and SCADA-like (supervisory control and data acquisition) systems use proprietary communication protocols, and hence interoperability is not fulfilled. However, the MODBUS TCP is an open de facto standard, and is used for some automation and telecontrol systems. It is based on a polling mechanism and follows the synchronous request–response pattern, as opposed to the asynchronous publish–subscribe pattern. In this study, polling-based and event-based protocols are investigated to realize an open and interoperable Industrial Internet of Things (IIoT) environment. Many Internet of Things (IoT) protocols are introduced and compared, and the message queuing telemetry transport (MQTT) is chosen as the event-based, publish–subscribe protocol. The study shows that MODBUS defines an optimized message structure in the application layer, which is dedicated to industrial applications. In addition, it shows that an event-oriented IoT protocol complements the MODBUS TCP but cannot replace it. Therefore, two scenarios are proposed to build the IIoT environment. The first scenario is to consider the MODBUS TCP as an IoT protocol, and build the environment using the MODBUS TCP on a standalone basis. The second scenario is to use MQTT in conjunction with the MODBUS TCP. The first scenario is efficient and complies with most industrial applications where the request–response pattern is needed only. If the publish–subscribe pattern is needed, the MQTT in the second scenario complements the MODBUS TCP and eliminates the need for a gateway; however, MQTT lacks interoperability. To maintain a homogeneous message structure for the entire environment, industrial data are organized using the structure of MODBUS messages, formatted in the UTF-8, and then transferred in the payload of an MQTT publish message. The open and interoperable environment can be used for Internet SCADA, Internet-based monitoring, and industrial control systems.

scholarly journals Approach for Securing Network Communications Modelling Based on Smart Multipath Routing

2020 ◽  
Vol 23 (4) ◽  
pp. 386-396
Author(s):  
A. D. Dakhnovich ◽  
D. A. Moskvin ◽  
D. P. Zegzhda
Keyword(s):  
Internet Of Things ◽  
Real Life ◽  
Network Routing ◽  
Peer To Peer ◽  
Industrial Control ◽  
Industrial Control Systems ◽  
Industrial Internet ◽  
Entry Points ◽  
Network Communications ◽  
Secure Network

Digital transformation, or Industry 4.0, is already changing manufacturing processes as it brings more automation to standardized Industrial Control Systems (ICS) based systems such as Supervisory Control and Data Acquisition (SCADA) systems. It is performed by the means of cyber-physical systems such as Internet of Things (IoT). For now, these “Things” are communicating in a new network area, where peer-to-peer communications are widely used. Such networks are responsible for real life processes safety. However, such shift also extends a threat vectors and entry points for an adversary inside the industrial segments. In the paper, new cybersecurity challenges on the Industrial Internet of Things network segments are considered as well as known practices to mitigate some of them. As a result, a peer-to-peer smart multipath network routing based on garlic routing is proposed to model secure network communications in IoT field. An approach is aimed to be used on the IoT field to tackle all of the network-scoped cybersecurity challenges.

scholarly journals An Adaptive Industrial Control Equipment Safety Fault Diagnosis Method in Industrial Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Hanrui Zhang ◽  
Qianmu Li ◽  
Shunmei Meng ◽  
Zhuoran Xu ◽  
Chaoxian Lv
Keyword(s):  
Dynamic Programming ◽  
Fault Diagnosis ◽  
Internet Of Things ◽  
Ensemble Learning ◽  
Industrial Internet Of Things ◽  
Industrial Control ◽  
Adjustment Method ◽  
Control Equipment ◽  
Industrial Internet ◽  
Diagnosis Model

With the rapid development of intelligent manufacturing and Industrial Internet of Things, many industrial control systems have high requirements for the security of the system itself. Failures of industrial control equipment will cause abnormal operation of industrial control equipment and waste of resources. It is very meaningful to detect and identify potential equipment abnormalities and failures in time and implement effective fault tolerance strategies. In the Industrial Internet of Things environment, the instructions and parameters of industrial control equipment often change due to changes in actual requirements. However, it is impractical to customize the learning method for each parameter value. Aiming at the problem, this paper proposes a fault diagnosis model based on ensemble learning and proposes a method of updating voting weights based on dynamic programming to assist decision-making. This method is based on Bagging strategy and combined with dynamic programming voting weight adjustment method to complete fault type prediction. Finally, this paper uses different loads as dynamic conditions; the diagnostic capability of the Bagging-based fault diagnosis integrated model in a dynamically changing industrial control system environment is verified by experiments. The fault diagnosis model of industrial control equipment based on ensemble learning effectively improves the adaptive ability of the model and makes the fault diagnosis framework truly intelligent. The voting weight adjustment method based on dynamic programming further improves the reliability of voting.

A Study of Identifying Attacks on Industry Internet of Things Using Machine Learning

2021 ◽  
Author(s):  
Chia-Mei Chen ◽  
Zheng-Xun Cai ◽  
Gu-Hsin Lai
Keyword(s):  
Internet Of Things ◽  
Control Systems ◽  
Classification Model ◽  
Multiple Sources ◽  
Industrial Control ◽  
Critical Function ◽  
Industrial Control Systems ◽  
Detection Model ◽  
The Past ◽  
Industrial Companies

The “Industry 4.0” revolution and Industry Internet of Things (IIoT) has dramatically transformed how manufacturing and industrial companies operate. Industrial control systems (ICS) process critical function, and the past ICS attacks have caused major damage and disasters in the communities. IIoT devices in an ICS environment communicate in heterogeneous protocols and the attack vectors might exhibit different misbehavior patterns. This study proposes a classification model to detect anomalies in ICS environments. The evaluation has been conducted by using ICS datasets from multiple sources and the results show that the proposed LSTM detection model performs effectively.

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