People-as-a-Service Dilemma: Humanizing Computing Solutions in High-Efficiency Applications

Bordel, Borja; Hernández, Miguel

doi:10.3390/proceedings2019031039

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…In Industry 4.0, production activities and workplaces are user-centric [5] and personalized [7]. Therefore, Industry 4.0 systems must implement user authentication and identification solutions [8].…”

Section: Introductionmentioning

confidence: 99%

Lightweight encryption for short-range wireless biometric authentication systems in Industry 4.0

Bordel

2022

ICA

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Most recent solutions for users’ authentication in Industry 4.0 scenarios are based on unique biological characteristics that are captured from users and recognized using artificial intelligence and machine learning technologies. These biometric applications tend to be computationally heavy, so to monitor users in an unobtrusive manner, sensing and processing modules are physically separated and connected through point-to-point wireless communication technologies. However, in this approach, sensors are very resource constrained, and common cryptographic techniques to protect private users’ information while traveling in the radio channel cannot be implemented because their computational cost. Thus, new security solutions for those biometric authentication systems in their short-range wireless communications are needed. Therefore, in this paper, we propose a new cryptographic approach addressing this scenario. The proposed solution employs lightweight operations to create a secure symmetric encryption solution. This cipher includes a pseudo-random number generator based, also, on simple computationally low-cost operations in order to create the secret key. In order to preserve and provide good security properties, the key generation and the encryption processes are fed with a chaotic number sequence obtained through the numerical integration of a new four-order hyperchaotic dynamic. An experimental analysis and a performance evaluation are provided in the experimental section, showing the good behavior of the described solution.

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Section: Introductionmentioning

confidence: 99%

Lightweight encryption for short-range wireless biometric authentication systems in Industry 4.0

Bordel

2022

ICA

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“…Our framework aims to bridge this gap by leveraging genetic algorithms in open data environments, transforming data publication into a dynamic, interactive process involving end-users in data quality enhancement. This approach is particularly pertinent in the era of mobile computing and IoT, where citizens increasingly contribute to data generation, echoing the concept of 'Open Data: People as Service' [13].…”

Section: Related Workmentioning

confidence: 99%

EventGeoScout: Fostering Citizen Empowerment and Augmenting Data Quality through Collaborative Geographic Information Governance and Optimization

Montenegro,

Muñoz

2024

IJGI

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In this manuscript, we present EventGeoScout, an innovative framework for collaborative geographic information management, tailored to meet the needs of the dynamically changing landscape of geographic data integration and quality enhancement. EventGeoScout enables the seamless fusion of open data from different sources and provides users with the tools to refine and improve data quality. A distinctive feature of our framework is its commitment to platform-agnostic data management, ensuring that processed datasets are accessible via standard Geographic Information System (GIS) tools, reducing the maintenance burden on organizations while ensuring the continued relevance of the data. Our approach goes beyond the boundaries of traditional data integration, enabling users to fully harness the power of geospatial information by simplifying the data creation process and providing a versatile solution to the complex challenges posed by layered geospatial data. To demonstrate the versatility and robustness of EventGeoScout as an optimization tool, we present a case study centered on the Uncapacitated Facility Location Problem (UFLP), where a genetic algorithm was used to achieve outstanding performance on both traditional computing platforms and smartphone devices. As a concrete case study, we applied our solution in the context of the Málaga City Marathon, using the latest data from the last edition of the marathon.

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“…In Industry 4.0, production systems and solutions implement mechanisms to make flexible, automatic and real-time decisions [4] that guarantee the adaptation of production processes to the variable behavior of economic, social and physical contexts [5]. With this approach, the global efficiency of industry has proved to increase significantly [6].…”

Section: Introductionmentioning

confidence: 99%

Prediction-Correction Techniques to Support Sensor Interoperability in Industry 4.0 Systems

Bordel

2021

Sensors

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Industry 4.0 is envisioned to transform the entire economical ecosystem by the inclusion of new paradigms, such as cyber-physical systems or artificial intelligence, into the production systems and solutions. One of the main benefits of this revolution is the increase in the production systems’ efficiency, thanks to real-time algorithms and automatic decision-making mechanisms. However, at the software level, these innovative algorithms are very sensitive to the quality of received data. Common malfunctions in sensor nodes, such as delays, numerical errors, corrupted data or inactivity periods, may cause a critical problem if an inadequate decision is made based on those data. Many systems remove this risk by seamlessly integrating the sensor nodes and the high-level components, but this situation substantially reduces the impact of the Industry 4.0 paradigm and increases its deployment cost. Therefore, new solutions that guarantee the interoperability of all sensors with the software elements in Industry 4.0 solutions are needed. In this paper, we propose a solution based on numerical algorithms following a predictor-corrector architecture. Using a combination of techniques, such as Lagrange polynomial and Hermite interpolation, data series may be adapted to the requirements of Industry 4.0 software algorithms. Series may be expanded, contracted or completed using predicted samples, which are later updated and corrected using the real information (if received). Results show the proposed solution works in real time, increases the quality of data series in a relevant way and reduces the error probability in Industry 4.0 systems.

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People-as-a-Service Dilemma: Humanizing Computing Solutions in High-Efficiency Applications

Cited by 5 publications

References 26 publications

Lightweight encryption for short-range wireless biometric authentication systems in Industry 4.0

Lightweight encryption for short-range wireless biometric authentication systems in Industry 4.0

EventGeoScout: Fostering Citizen Empowerment and Augmenting Data Quality through Collaborative Geographic Information Governance and Optimization

Prediction-Correction Techniques to Support Sensor Interoperability in Industry 4.0 Systems

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