Real-Time Transmission of Secured PLCs Sensing Data

Leang, Bunrong; Kim, Rockwon; Yoo, Kwan‐Hee

doi:10.1109/cybermatics_2018.2018.00177

“…Carvajal Soto, Tavakolizadeh and Gyulai point out that the implementation of a sensor data analysis system would not be possible without sufficient security measures to maintain correct data accessible only by confidential employees [14]. Security measures identified in the cited publications include trusted devices, data encryption and network protection across all infrastructural components [22], [23], [24].…”

Section: Securitymentioning

confidence: 99%

Requirements Identification for Real-Time Anomaly Detection in Industrie 4.0 Machine Groups: A Structured Literature Review

Stahmann

¹

,

Rieger

²

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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Industrie 4.0 environments generate an unprecedented amount of production data. This is due to the rising number of sensors and interconnected devices capable of emitting data in millisecond frequencies. Streaming analytics offers promising methodologies that can support handling and analysis of data volume and variety. Transparency and control over real-time data can increase production efficiency in tightly connected machine environments. Data transparency may avoid time-consuming assessment of machines to detect anomalous machine behavior causing production inefficiencies or failures. This paper aims to identify requirements to implement streaming analytics for the detection of anomalies in Industrie 4.0 production machine groups through a structured literature review.

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Blockchain-Based Industrial Internet of Things for the Integration of Industrial Process Automation Systems

Garrocho

¹

,

Ferreira

²

,

Cavalcanti

³

et al. 2022

Research Anthology on Convergence of Blockchain, Internet of Things, and Security

0

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The industrial internet of things is expected to attract significant investment to the industry. In this new environment, blockchain presents immediate potential in industrial IoT applications, offering several benefits to industrial cyber-physical systems. However, works in the blockchain literature target environments that do not meet the reality of the factory and do not assess the impact of the blockchain on industrial process requirements. Thus, this chapter presents an investigation of the evolution of industrial process automation systems and blockchain-based applications in the horizontal and vertical integration of the various systems in a supply chain and factories. In addition, through an investigation of experimental work, this work presents issues and challenges to be faced for the application of blockchain in industrial processes. Evaluations and discussions are mainly focused on aspects of real-time systems in machine-to-machine communication of industrial processes.

show abstract

Blockchain-Based Industrial Internet of Things for the Integration of Industrial Process Automation Systems

Garrocho

¹

,

Ferreira

²

,

Cavalcanti

³

et al. 2021

Advances in Data Mining and Database Management

0

View full text Add to dashboard Cite

The industrial internet of things is expected to attract significant investment to the industry. In this new environment, blockchain presents immediate potential in industrial IoT applications, offering several benefits to industrial cyber-physical systems. However, works in the blockchain literature target environments that do not meet the reality of the factory and do not assess the impact of the blockchain on industrial process requirements. Thus, this chapter presents an investigation of the evolution of industrial process automation systems and blockchain-based applications in the horizontal and vertical integration of the various systems in a supply chain and factories. In addition, through an investigation of experimental work, this work presents issues and challenges to be faced for the application of blockchain in industrial processes. Evaluations and discussions are mainly focused on aspects of real-time systems in machine-to-machine communication of industrial processes.

show abstract

Real-Time Transmission of Secured PLCs Sensing Data

Cited by 4 publications

References 0 publications

Requirements Identification for Real-Time Anomaly Detection in Industrie 4.0 Machine Groups: A Structured Literature Review

Requirements Identification for Real-Time Anomaly Detection in Industrie 4.0 Machine Groups: A Structured Literature Review

Blockchain-Based Industrial Internet of Things for the Integration of Industrial Process Automation Systems

Blockchain-Based Industrial Internet of Things for the Integration of Industrial Process Automation Systems

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