A Survey on Internet of Things (IoT), Industrial IoT (IIoT) and Industry 4.0

Deshpande, Sujit N.; Jogdand, Rashmi M.

doi:10.5120/ijca2020920790

Cited by 6 publications

(4 citation statements)

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“…The efficacy of this approach is trust computation is global and done by the physical cloud, outside of the device layer so there is less chance of tampering of trust data but a high risk of the single point of failure is foreseen during devices interactions with the centralized unit. [7][8][9]…”

Section: Distributed Approachmentioning

confidence: 99%

Security and Privacy for IoT Data Through Trust Management System by using Cluster Based Management

Sachdeva,

Kumar

2023

SCRS Proceedings of International Conference of Undergraduate Students 2023

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Internet of Things (IoT) networks has been evolving phenomenally over the past two decades. Although the devices generally hold relatively low memory, resource and processing capability, the challenge with its trend is that nodes generate a vast volume of data. That is where cloud technology kicks off to offer storage space. An extensive network functioning with cloud assistance might be vulnerable due to its centralized nature and robustness. Besides, the devices may be exposed to malicious activities due to weak access control policies. However, cloud technology provides a platform on which such a security system can execute. Within the framework of these criteria, a centralized, secure architecture fails to consider the mobile and edge devices. This raises many questions about the trust in third-party cloud intermediaries that cause security and privacy leakages. This paper presents trust management system mechanism as an excellent component providing security solution in the network which not just lessens device's energy consumption enhances the network lifetime, as well offers a proficient trust model to guarantee the network is treated as reliable, free from any sort of malicious attackers in the IoT system. This describes cluster priority based IoT system with their advantages.

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Section: Distributed Approachmentioning

confidence: 99%

Security and Privacy for IoT Data Through Trust Management System by using Cluster Based Management

Sachdeva,

Kumar

2023

SCRS Proceedings of International Conference of Undergraduate Students 2023

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“…The heterogeneity of devices and data formats conveyed via IIoT networks raises the possibility of data parsing mistakes in the processing layer, which could result in inaccurate processing results [39]. The increased volume of data could overwhelm the processing layer, causing bottlenecks that hinder realtime analysis and response and lower system reliability [40]. Insufficient error-handling mechanisms within the processing layer may compromise reliability since errors during data processing may not be effectively captured or recovered.…”

Section: F Limitations Of Iiot System Architecturementioning

confidence: 99%

A Critical Overview of Industrial Internet of Things Security and Privacy Issues Using a Layer-Based Hacking Scenario

Eyeleko,

Feng

2023

IEEE Internet Things J.

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We have witnessed significant technological advancement over the past few years, including the Internet of Things (IoT). The IoT's ability to connect consumer appliances to the internet has changed the way we live. As a result of the significant benefits that IoT has brought to household usage, it has become a topic of discussion for research departments, leading to its expansion into industrial sectors, commonly known as the Industrial Internet of Things (IIoT). IIoT enables automation and the use of intelligent machines to improve product manufacturing processes and enhance our lives as customers. However, as IIoT-enabling technology and applications continue to grow, security issues and privacy protection challenges become harder to manage, which frequently results in data breaches and sensitive information disclosures. This paper first explains what the reader needs to know about the IIoT system architecture in Industry 4.0 to make it easier for them to understand. Second, a hacking scenario is utilized as a methodology to conduct an in-depth analysis of various security issues, as well as their impacts and countermeasures, for each level of the IIoT architecture. Additionally, our hacking scenarios present a variety of targets from which malicious actors can launch their assaults. Third, we provide a thorough review of the various blockchain solutions currently being employed to protect IIoT systems. Finally, this paper draws to a close by outlining certain gaps and potential solutions that could be investigated in subsequent studies to strengthen security and enhance privacy for IIoT systems.

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“…IoT that is applied in industry or more commonly known as IIoT. The IIoT is used to develop a smart factory in which various sensors and wireless instruments connect [12]. In industrial revolution 4.0, the IIoT plays a significant role in realizing the industrial revolution [13].…”

Section: Introductionmentioning

confidence: 99%

“…IIoT services and applications provide essential solutions for more efficient planning, scheduling, and control of manufacturing processes and systems [14]. In market overview and opportunity, the IoT and IIoT will be marketed primarily in the Asia-Pacific region [12], [15]- [16].…”

Section: Introductionmentioning

confidence: 99%

The Industrial IoT Control Design of Three Phase Induction Motor using Conventional V/F Method

Aditya

Utomo

Alham

et al. 2023

ELKHA

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Nowadays, the Internet of Things (IoT) is inseparable from the industrial revolution 4.0 and society 5.0. IoT allows all aspects to be connected at the same time. In industrial processes, the IoT controls the actuator and monitors the behavior system. Industrial IoT (IIoT) connected the Human Machine Interface (HMI) Haiwell C7S with the actuator (Schneider Altivar 12) and the controller (OMRON CP1E-NA20DRA). The communication between the variable speed drive and Haiwell C7S using Modbus protocol is connected with RS485. Schneider Altivar 12 is a variable-speed drive that controls the Induction Motor (IM) rotor speed using the conventional V/F method. The scalar control of IM controls supply frequency and voltage simultaneously. The success parameter of the proposed systems is a rotor speed response and voltage in various supply frequencies. The results show that the 5 Hz supply frequency makes the absolute error of rotor speed response 11.43% for tachometer measurement, 0.67% from VSD data, and 12.67% for rotary encoder measurement. This absolute error will decrease significantly when the supply frequency exceeds 20 Hz, or the rotor speed response exceeds 1200 rpm. The changes in the supply frequency change the voltage's magnitude. The voltage will increase proportionally, along with the increase in supply frequency.

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A Survey on Internet of Things (IoT), Industrial IoT (IIoT) and Industry 4.0

Cited by 6 publications

References 0 publications

Security and Privacy for IoT Data Through Trust Management System by using Cluster Based Management

Security and Privacy for IoT Data Through Trust Management System by using Cluster Based Management

A Critical Overview of Industrial Internet of Things Security and Privacy Issues Using a Layer-Based Hacking Scenario

The Industrial IoT Control Design of Three Phase Induction Motor using Conventional V/F Method

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