Cyber‐Security Assessment of Industry 4.0 Enabled Mechatronic System

Kotuszewski, Piotr; Kukiełka, K.; Kluk, Paweł; Ordys, Andrzej; Bieńkowski, Karol; Kościelny, Jan Maciej; Syfert, Michał; Wnuk, Paweł; Możaryn, Jakub; Fajdek, Bartłomiej

doi:10.1155/2021/6670625

Cited by 9 publications

(5 citation statements)

References 22 publications

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“…This study employed a multifaceted methodology to explicate the proposed architectures of Converged Manufacturing, Extreme Manufacturing Framework, and Cybersecurity Infrastructure [3,5,12,14].…”

Section: Methodsmentioning

confidence: 99%

“…The robust Cybersecurity Infrastructure safeguards the digital environment, employing secure communication protocols and a responsive Intrusion Detection System (IDS) that swiftly addresses potential threats [8][9][10]. A central hub for data analytics contributes to continuous improvement by analyzing substantial volumes of 3D printing data daily, generating actionable insights that refine designs and optimize production workflows [11][12][13]. The framework is designed with a user-centric approach, ensuring accessibility and empowerment through intuitive interfaces and responsive help desks [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

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Optimizing extreme manufacturing framework: a secure and efficient 3D printing integration framework

Palanisamy

2024

Eng. Res. Express

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This study presents a comprehensive framework for extended manufacturing with integrated 3D printing technologies, exemplifying a paradigm shift in the manufacturing landscape. The Digital Thread Integration establishes a dynamic foundation, enabling real-time collaboration and data flow throughout the product lifecycle. Leveraging advanced AI-driven optimization, Digital Design Platforms streamline designs, processing 1,000 iterations per hour, and recommending materials based on component requirements. On-Demand Manufacturing Hubs strategically placed globally achieve substantial reductions in lead times (48 hours) and material waste (15%). The Cybersecurity Infrastructure ensures the sanctity of the digital environment, employing secure communication protocols and an Intrusion Detection System (IDS) responding to threats in milliseconds. The Data Analytics Hub contributes to continual improvement by analysing 100 GB of 3D printing data daily, generating 50 actionable insights weekly. User Interface and Accessibility initiatives empower the workforce through intuitive training modules and responsive help desks. In conclusion, this framework exemplifies secure, efficient, and data-driven extended manufacturing, positioning the industry at the forefront of technological advancement.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimizing extreme manufacturing framework: a secure and efficient 3D printing integration framework

Palanisamy

2024

Eng. Res. Express

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“…Following this, the key issues currently addressed in the literature include: Cyber risk analysis and assessment (cyber risk evaluation) (e.g., [ 314 , 315 , 316 , 317 ]); Cyber vulnerability assessment (e.g., [ 318 , 319 , 320 , 321 ]); Resilience to cyber-attacks (e.g., [ 322 ]); Safety aspects of digitalized CPS (e.g., [ 323 , 324 , 325 ]). …”

Section: Systematic Literature Review Of the Selected Papers Within T...mentioning

confidence: 99%

“…The authors focus on the main security vulnerabilities, threats, risks with their impacts, and the main security attacks within the robotics domain. The robotic/mechatronic systems cybersecurity is also reviewed in work [ 322 ]. The authors focus on the problem regarding the possibility of cyber-attack detection.…”

Section: Systematic Literature Review Of the Selected Papers Within T...mentioning

confidence: 99%

Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review

Werbińska-Wojciechowska

Winiarska

2023

Sensors

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Recently, there has been a growing interest in issues related to maintenance performance management, which is confirmed by a significant number of publications and reports devoted to these problems. However, theoretical and application studies indicate a lack of research on the systematic literature reviews and surveys of studies that would focus on the evolution of Industry 4.0 technologies used in the maintenance area in a cross-sectional manner. Therefore, the paper reviews the existing literature to present an up-to-date and content-relevant analysis in this field. The proposed methodology includes bibliometric performance analysis and a review of the systematic literature. First, the general bibliometric analysis was conducted based on the literature in Scopus and Web of Science databases. Later, the systematic search was performed using the Primo multi-search tool following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The main inclusion criteria included the publication dates (studies published from 2012–2022), studies published in English, and studies found in the selected databases. In addition, the authors focused on research work within the scope of the Maintenance 4.0 study. Therefore, papers within the following research fields were selected: (a) augmented reality, (b) virtual reality, (c) system architecture, (d) data-driven decision, (e) Operator 4.0, and (f) cybersecurity. This resulted in the selection of the 214 most relevant papers in the investigated area. Finally, the selected articles in this review were categorized into five groups: (1) Data-driven decision-making in Maintenance 4.0, (2) Operator 4.0, (3) Virtual and Augmented reality in maintenance, 4) Maintenance system architecture, and 5) Cybersecurity in maintenance. The obtained results have led the authors to specify the main research problems and trends related to the analyzed area and to identify the main research gaps for future investigation from academic and engineering perspectives.

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“…The usage of service robots involves the use of numerous sensors to collect a lot of data, some of which could be sensitive. Through the cloud service, the data is sent to a communication protocol [47]. In order to lower the danger of cyberattacks, data transfer encryption must be robust.…”

Section: ) Authenticationmentioning

confidence: 99%

Secure Cloud-Connected Robot Control using Private Blockchain

Fauzi,

Saad,

Haris

et al. 2023

IJACSA

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With the increasing demand for remote operations and the challenges posed during the COVID-19 pandemic, industries across various sectors, including logistics, manufacturing, and education, have adopted virtual solutions. Cloud-based robot control has emerged as a viable approach for enabling safe remote operation of robots. However, along with the benefits, there are also risks associated with cloud-based robots. In this study, a secure cloud-based robot control system using a blockchain system was developed. The robot utilizes supervisory control to navigate via the internet. The communication system of the robot relies on the ThingsSentral cloud-based IoT platform; enabling communication between the user via a GUI developed using Python Tkinter and the local robot over the internet. To facilitate internet communication, the robot in this study incorporates an ESP32 microcontroller, which provides a low-cost and low-power system capable of connecting to Wi-Fi. However, cloud-based control systems are susceptible to cyberattacks, prompting the use of blockchain cybersecurity in this study to mitigate the risks. The data sent by the supervisor is stored within a private blockchain developed using Python, simultaneously being transmitted to the cloud platform. The developed security system addresses the risks associated with cloud-based robot control systems, such as data tampering and unauthorized misuse, by leveraging the Proof of Work (PoW) and hashing mechanisms.

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Cyber‐Security Assessment of Industry 4.0 Enabled Mechatronic System

Cited by 9 publications

References 22 publications

Optimizing extreme manufacturing framework: a secure and efficient 3D printing integration framework

Optimizing extreme manufacturing framework: a secure and efficient 3D printing integration framework

Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review

Secure Cloud-Connected Robot Control using Private Blockchain

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