volume-16-Issue 2 (2022)
Access Control Metamodels: Review, Critical Analysis, and Research Issues
JUSPN, volume-16, Issue 2 (2022) , PP 93 - 102
Published: 22 Apr 2022
by Nadine Kashmar, Mehdi Adda, Hussein Ibrahim from Université du Québec à Rimouski, Rimouski, Canada, QC G5L 3A1,Institut Technologique de Maintenance Industrielle, Sept-Îles, Canada, QC G4R 5B7
Abstract: The new generation of networking environments such as the internet of things (IoT), cloud computing, etc. is emerging and releases new prospects to traditional information systems by merging new technologies and services for seamless access to information sources at anytime and anywhere. Concurrently, this emergence opens new threats to information security and new challenges to controlling access to resources. To ensure security, several techniques have been employed, and access control (AC) is one of the essential security requirements especially for recent networking environments. Various authentication and AC methods are proposed to enforce AC policy and to prevent any unauthorized access to logical/physical assets. The continuous technology upgrades and the diversity of AC models force the need to find AC metamodels with a higher level of abstraction that serves as a unifying framework for specifying any AC policy. AC metamodels are proposed to encompass AC features and are used to derive various instances of AC models and methods. In this paper we review the proposed AC metamodels and their implementation scenarios, we analyze them, their objectives, their limitations, and present current research issues and open questions that still need to be addressed read more... read less...
Keywords: Access control, metamodels, IoT, Industry 4.0, security and privacy, security policy
Use Cases of Data Reduction to Time Series Data in Sensor Monitoring
JUSPN, volume-16, Issue 2 (2022) , PP 87 - 92
Published: 08 Apr 2022
by Selvine G. Mathias, Daniel Grossmann from Technische Hochschule Ingolstadt, Esplanade 10, 85049 Ingolstadt, Germany
Abstract: The aim of this paper is to investigate the use of data reduction techniques using distances and areas for monitoring of sensors using process mining approaches. When sensors are used in industrial cases, the real time accumulation of timestamped data tends to pose a problem of storage, processing and analyzing their values in the optimal way possible. Here, the paper tends to present an application of monitoring of sensor signals using reduced parameters from the acquired timestamped values. Each observation is dissected into packets and their attributes such as areas under the curves and successive distances are calculated. The combination of these attributes present real time monitoring scenario for which a blueprint process model can be constructed. This, in turn, helps in identifying signal variations during run-time of the sensor without advanced analysis. read more... read less...
Keywords: data reduction, sensor, use case, process model
A Novel Micro-services Cluster Based Framework for Autonomous Vehicles
JUSPN, volume-16, Issue 2 (2022) , PP 77 - 86
Published: 08 Apr 2022
by Henry Alexander Ignatious , Hesham-El-Sayed, Manzoor Khan, Shawqi Kharbash and Sumbal Malik from College of Information Technology, United Arab Emirates University, Al Ain, UAE
Abstract: Modern technologies like digital spaces, intelligent transportation, and digital operations are faced with technical challenges related to data capturing, data processing, data storage, data security, communication, etc. Ensuring security and reliable message propagation among autonomous vehicles is a major challenging task. Establishing appropriate environment for developing vehicular-based solutions by the vehicle manufactures increases their estimated cost and time. Hence, to minimize this problem, this proposal aims to introduce Service Oriented Architecture (SOA) principles, to access trust based solutions as simple cloud based services by the clients. We propose a framework to integrate three mandatory vehicular applications namely trust estimation, secured message dissemination, and routing as cloud-based microservices. We also propose an innovative CipherText Policy Attribute Based Encryption (CP-ABE) algorithm to ensure confidentiality of data by an access control system in highly dynamic and automated network. The services are deployed as Docker images using advanced concepts of Dockers and Containers. Dockers coordinate the orchestration of multiple tasks related to the proposed microservices and help to implement the services in cross-platform environments. These services can be implemented in both autonomous and manual vehicular systems. The service providers can charge the clients based on the usage of the services. A detailed experimental analysis is accomplished to evaluate the performance of the proposed micro services in cross platform environments; further, an extensive simulation is performed to assess the individual performance of the proposed vehicular applications. read more... read less...
Keywords: Vehicular Networks, Trust Management, Cloud Computing, Dockers &Containers
Design and Study of a Digital Energy Building: Case of Morocco
JUSPN, volume-16, Issue 2 (2022) , PP 71 - 76
Published: 08 Apr 2022
by Abdelali Agouzoul , Mohamed Tabaa, Badr Chegari, Meryem Mhenni, Emmanuel Simeu, Abbas Dandache, Karim Alami from LPRI Lab, EMSI Casablanca, Morocco, LGIPM, Lorraine University, France, Univ. Grenoble Alpes, CNRS, Grenoble INP, TIMA, 38000 Grenoble, France
Abstract: In the industrial revolution that followed, the aim of the industry is not only to improve and meet its urgent needs, but also to improve the standard of living of society and make life easier for consumers. Therefore, economic growth must always be closely linked to the industrial revolution. The medical industry, energy conservation and, in particular, production technologies will be transformed through new value chain models. Globalization, urbanization, vital changes and the energy transformation are all shifting forces that assess the dynamics of technology to better identify solutions in the moving world. In recent years, successive revolutions have made remarkable contributions to a person's quality of life, safety, industrial economy, comfort and health. This work aims to improve the energy consumption of the building. To achieve this goal, digital twins were created to faithfully reflect the behavior and characteristics of future or current buildings. To replicate copies of future or existing buildings, we chose to use Autodesk REVIT solution to meet some limitations. These have a great influence on the energy behavior of the building. read more... read less...
Keywords: Digital twin, Building, Energy Management, Smart Cities, industry of the future, IoT
A Filtering Method for Fast Convex Hull Construction
JUSPN, volume-16, Issue 2 (2022) , PP 63 - 70
Published: 08 Apr 2022
by Fatimah A. Alshehri, Reham Alshamrani from Computer Science Department, King Saud University, Riyadh, Saudi Arabia
Abstract: Computing the convex hull of a set of points is a fundamental issue in many fields, including geometric computing, computer graphics, and computer vision. This problem is computationally challenging, especially when the number of points is past the millions. In this paper, we propose a fast filtering technique that reduces the computational cost for computing a convex hull for a large set of points. The proposed method preprocesses the input set and filters all points inside a four-vertex polygon. The experimental results showed the proposed filtering approach achieved a speedup of up to 77 and 12 times faster than the standard Graham scan and Jarvis march algorithms, respectively. read more... read less...
Keywords: Convex hull, filtering, priority queue
A smart spontaneous crowd evacuation system for large multi-exit exhibition centers based on IoT
JUSPN, volume-16, Issue 2 (2022) , PP 55 - 62
Published: 02 Apr 2022
by Faouzi Kamoun, May El Barachi, Fatna Belqasmi, Abderrazak Hachani from ESPRIT School of Engineering, Tunis, Tunisia, P.O. Box 160-2083, University of Wollongong in Dubai, Dubai, UAE, P.O Box 20183, Zayed University, Dubai, UAE, P.O. Box 19282
Abstract: Plans to mass evacuate visitors in an exhibition center in the case of emergency situations are critical for public safety and disaster management. Efficient crowd evacuation during mass gatherings has been an active research area during the past years. In this paper, we consider the challenging problem of finding in near real-time the most efficient and safest evacuation pathways in a multi-exit exhibition center while the fire hazard spreads. We first propose a system composed of sensor nodes to collect pertinent safety data associated with the changing environmental conditions. We then present a spontaneous dynamic evacuation system that considers the changing conditions in the risks associated with each hallway segment in terms of walking distance, heat, two major asphyxiant fire gases and crowd congestion. Our IoT-based system activates smart panels placed at major junctions of the hallways to visually guide evacuees towards the safest escape direction under the existing circumstances. The proposed algorithms aim to minimize the total evacuation time of all evacuees, while circumventing congested and perilous aisles, balancing traffic loads, and guaranteeing high scalability and reasonable computational efficiency. This work can pave the way towards the development of nextgeneration smart exhibition centers, where crowd safety is among the top priorities read more... read less...
Keywords: Evacuation system, crowd management, indoor navigation, smart exhibition center, fire evacuation, IoT