Big Data on Machine to Machine Integration’s Requirement Analysis Within Industry 4.0

Coda, Felipe A.; Salles, Rafael; Vitoi, Henrique A.; Pessoa, Marcosiris A. O.; Moscato, Lucas Antonio; Filho, Diolino José dos Santos; Junqueira, Fabrício

doi:10.1007/978-3-030-17771-3_21

Cited by 6 publications

(5 citation statements)

References 9 publications

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“…The machine-to-machine communication (M-M-C) is a direct communication between different machines using any channel of communication, such as wired and wireless. The sensors and meters in M-M-C record and transmit information from one machine to another [123]. The M-M-C is considered to be an important technology of Industry 4.0 ecosystem [118].…”

Section: Machine-to-machine Communicationmentioning

confidence: 99%

Organizational Agility in Industry 4.0: A Systematic Literature Review

Mrugalska

Ahmed

2021

Sustainability

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Agility is the dynamic capability of an organization which helps it to manage a change and uncertainties in the environment. The purpose of this research is to review the literature from the perspective of agility in Industry 4.0. This paper systematically reviews 381 relevant articles from peer-reviewed academic journals in the period of the last five years. The results show that agility is important for an organization to adopt Industry 4.0 technologies as it helps companies to cope with the changes that arise along with the adoption of Industry 4.0 technologies. Further, it also indicates that by adopting Industry 4.0 technologies, companies can significantly enhance their agility capability into various aspects with different technologies. The technologies which enhance the agility are: smart manufacturing, internet of things, cyber-physical system, big data and analytics and cloud computing. On the other hand, important aspects of agility include supply chain, workforce, information system, facilities, management, manufacturing and technology agility.

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Section: Machine-to-machine Communicationmentioning

confidence: 99%

Organizational Agility in Industry 4.0: A Systematic Literature Review

Mrugalska

Ahmed

2021

Sustainability

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“…It is poised to bring revolutionary changes to realize the vision of the nextgeneration industrial revolution (known as Industry 4.0) [63]. With massive numbers of smart sensors and actuators interconnected and integrated into industrial systems, the M2M communication and the cloud/edge intelligence play a key role in enabling intelligent manufacturing [64] [65]. While IIoT has become an increasingly important area where security protection would be extremely critical [66], the attacks and defenses discussed in our survey could be applied to systems with physical interfaces including IIoT.…”

Section: B Cyber-physical World Interfacingmentioning

confidence: 99%

Security and Privacy in the Emerging Cyber-Physical World: A Survey

Kaplan

Yan

et al. 2021

IEEE Commun. Surv. Tutorials

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With the emergence of low-cost smart and connected IoT devices, the area of cyber-physical security is becoming increasingly important. Past research has demonstrated new threat vectors targeting the transition process between the cyber and physical domains, where the attacker exploits the sensing system as an attack surface for signal injection or extraction of private information. Recently, there have been attempts to characterize an abstracted model for signal injection, but they primarily focus on the path of signal processing. This paper aims to systematize the existing research on security and privacy problems arising from the interaction of cyber world and physical world, with the context of broad CPS applications. The primary goals of the systematization are to (1) reveal the attack patterns and extract a general attack model of existing work, (2) understand possible new attacks, and (3) motivate development of defenses against the emerging cyber-physical threats.

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“…Through this, the intelligence within a machine or system can also be taken in consideration for the decision making along with the control device [13]. A summary of each layer was discussed in previous work [7]. The NBDRA and related literature, is here used to structure the necessary functionalities for the big data acquisition process under the RAMI 4.0.…”

Section: Rami 40mentioning

confidence: 99%

“…In this context, aiming to implement big data in I4.0, past works [6] and [7] centered initially on requirements elicitation. The present work focuses on the development and specification of a system architecture for data acquisition in I4.0, thus, answering the research question of how the big data acquisition relates and is organized within he I4.0.…”

Section: Introductionmentioning

confidence: 99%

Big data acquisition architecture: an industry 4.0 approach

Coda¹,

Campos²,

Sasso³

et al. 2020

ROG

Self Cite

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In an Industry 4.0 (I4.0) context there is significant increase in information exchange and storage through the interaction among assets (machines, systems, and people). These data are important because it can lead to the autonomy of assets in decision making. However, the entire organization of I4.0 assets in terms of the quantity and the quality of information to be managed makes the system very complex. Thus, a systematic is needed to deal with this complexity where reference architectures can be used to identify the functionality required to handle this large amount and diversity of data, and how they can be organized. Therefore, the aim here is the specification of a big data acquisition process for its implementation within I4.0 context to ensure quality data for analysis and decision making. The proposed solution is based on reference architectures NBDRA and RAMI 4.0.

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Big Data on Machine to Machine Integration’s Requirement Analysis Within Industry 4.0

Cited by 6 publications

References 9 publications

Organizational Agility in Industry 4.0: A Systematic Literature Review

Organizational Agility in Industry 4.0: A Systematic Literature Review

Security and Privacy in the Emerging Cyber-Physical World: A Survey

Big data acquisition architecture: an industry 4.0 approach

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