The International Journal of Ubiquitous Systems and Pervasive Networks (JUSPN) is a high-quality scientific journal devoted to fields of Ubiquitous Systems and Pervasive Networks. It aims to provide a highly readable and valuable addition to the literature which will serve as an indispensable reference tool for years to come. The coverage of the journal includes all new theoretical and experimental findings in the fields of Ubiquitous Systems and Pervasive Networks or closely related fields. The journal also encourages the submission of critical review articles covering advances in recent research of such fields as well as technical notes.
The Editor-in-Chief and the Editorial Board are very committed to build the Journal as one of the leading international journals in Ubiquitous Systems and Pervasive Networks in the next few years. With the support of the International Association for Sharing Knowledge and Sustainability (IASKS), it is expected that a heavy resource to be channeled into the Journal to establish its international reputation. The Journal’s reputation will be enhanced from arrangements with several organizers of international conferences in publishing selected best papers of the conference proceedings. The journal is planning to publish 4 issues per year.
AIMS AND SCOPE
The International Journal of Ubiquitous Systems and Pervasive Networks (JUSPN) is a refereed international journal to be of interest and use to all those concerned with research in various fields of, or closely related to Ubiquitous Systems and Pervasive Networks disciplines. The International Journal of Ubiquitous Systems and Pervasive Networks aims to provide a highly readable and valuable addition to the literature which will serve as an indispensable reference tool for years to come. The coverage of the journal includes all new theoretical and experimental findings in the fields of Ubiquitous Systems and Pervasive Networks or closely related fields. The journal also encourages the submission of critical review articles covering advances in recent research of such fields as well as technical notes.
JUSPN, volume-17 , Issue 2 (2022), PP 59 - 65
Published: 07 Dec 2022
by Jean Bertin Nkamla Penka, Saïd Mahmoudi, Olivier Debauche from University of Mons, Faculty of Engineering - ILIA Lab / InforTech, Place du parc 20, Mons, Belgium, 7000, University of Liège - GxABT, Terra, Passage des Déportés 2, Gembloux, Belgium, 5030, University of Liège - GxABT, BioDynE - DEAL, Passage des Déportés 2, Gembloux, Belgium, 5030
Abstract: Agriculture 4.0 is a domain of IoT in full growth which produces large amounts of data from machines, robots, and sensors networks. This data must be processed very quickly, especially for the systems that need to make real-time decisions. The Kappa architecture provides a way to process Agriculture 4.0 data at high speed in the cloud, and thus meets processing requirements. This paper presents an optimized version of the Kappa architecture allowing fast and efficient data management in Agriculture. The goal of this optimized version of the classical Kappa architecture is to improve memory management and processing speed. the Kappa architecture parameters are fine tuned in order to process data from a concrete use case. The results of this work have shown the impact of parameters tweaking on the speed of treatment. We have also proven that the combination of Apache Samza with Apache Druid offers the better performances read more... read less...
Keywords: Agriculture 4.0, IoT, Internet of Things, Kappa Architecture, Smart Farming, Smart Agriculture
JUSPN, volume-17 , Issue 2 (2022), PP 51 - 58
Published: 07 Dec 2022
by Tarek El Salti, Nelson Shaw, Joseph Chun-Chung Cheung, Edward R. Sykes from School of Applied Computing, Sheridan College, Oakville, Ontario, Canada, L6H 2L1 TELUS Communication Inc., 200 Consilium Place, Scarborough, Ontario, Canada, M1H 3E4 Centre for Mobile Innovation, Sheridan College, Oakville, Ontario, Canada, L6H 2L1
Abstract: Indoor localization is of great importance to several fields such as healthcare and asset tracking. However, many factors (e.g., multipath propagations) impact the quality of signals which are used to perform localizations. As a consequence, the precision and accuracy of the computed locations are heavily influenced. Therefore, the methodologies to compute indoor locations always need continuous refinements in terms of those metrics including the time complexity. For the last metric, It impacts the performance of mobile devices due to their limited resources. To address these challenges, a new set of fingerprinting algorithms was presented in this paper called Fingerprinting Line-Based Nearest Neighbour. This set shifts grid points potentially towards targets via a deterministic percentage. The running time of the set is upper bounded. Moreover, this paper presents the following: 1) an upper bound in terms of distance errors for the proposed algorithms, and 2) based on real experiments, the new algorithms (e.g., 90% shifting) improved the accuracy and precision, and had lower distance errors probabilities compared to those for the nearest neighbour-based algorithms (e.g., by 106% and 76%, respectively). read more... read less...
Keywords: : Indoor Location Services, Fingerprinting, Wi-Fi, Path Loss exponent, K-Nearest Neighbor
JUSPN, volume-17 , Issue 1 (2022), PP 43 - 49
Published: 04 Aug 2022
by Nassima Tadrist, Olivier Debauche, Saïd Mahmoudi, Adriano Guttadauria from University of Blida 1 Saâd Dahlab, Department of Water and Environmental Sciences, BP 270 Route Soumâa, Blida, Algeria, 09000 , University of Liège, TERRA / BioDynE - DEAL, Passage des Déportés 2, Gembloux, Belgium, 5030, University of Mons, Infortech Institute / Faculty of Engineering - ILIA, Place du Parc 20, Mons, Belgium, 7000
Abstract: t The recent floods have shown that the classic monitoring systems for watercourses are no longer adapted because other phenomena such as the insufficient capacity and/or obstruction of drainage networks, the modification of cultivation practices and rotations, the increase in the size of plots linked to the reparcelling, the urbanization of floodable areas, etc. The combination of all these causes, plus the modification of the water regime, implies an increase in the risk of flooding and an adapted monitoring that is no longer limited to watercourses in order to give early warning of the risk of flooding by runoff. The Internet of Things (IoT) and the availability of microcontrollers and sensors with low data rates and long ranges, as well as low-power wide area networks (LPWANs), allow for much more advanced monitoring systems. read more... read less...
Keywords: Monitoring System, Warning System, Flood, Runoff, Moody Flood, Flash Flood, Runoff Flooding, Sewer, IoT, LPWAN, LoRaWan, NB-IoT
JUSPN, volume-17 , Issue 1 (2022), PP 35 - 42
Published: 04 Aug 2022
by Hossein Shirazi, Katherine Haynes, Indrakshi Ray from Computer Science Department, Colorado State University, Fort Collins, CO, USA and Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA
Abstract: Hackers are increasingly launching phishing attacks via SMS and social media. Games and dating apps introduce yet another attack vector. However, current deep learning-based phishing detection applications do not apply to mobile devices due to the computational burden. We propose a lightweight phishing detection algorithm that distinguishes phishing from legitimate websites solely from URLs to be used in mobile devices. As a baseline performance, we apply Artificial Neural Networks (ANNs) to URL-based and HTML-based website features. A model search results in 15 ANN models with accuracies >96%, comparable to state-of-the-art approaches. Next, we test the performance of deep ANNs on URLbased features only; however, all models perform poorly with the highest accuracy of 86.2%, indicating that URL-based features alone are not adequate to detect phishing websites even with deep ANNs. Since language transformers learn to represent context-dependent text sequences, we hypothesize that they will be able to learn directly from the text in URLs to distinguish between legitimate and malicious websites. We apply three state-of-the-art deep transformers (BERT, ELECTRA, and RoBERTa) for phishing detection. Testing custom and standard vocabularies, we find that pre-trained transformers available for immediate use (with fine-tuning) outperform the model trained with the custom URL-based vocabulary. In addition, we test a thinner BERT transformer which is suitable for lightweight devices like mobiles, called MobileBERT. Our results emphasize that evaluation metrics of this model are competitive to other models in this study, yet the testing time is significantly less, making this model a choice for embedding phishing detection algorithms in mobile phones. Using pre-trained transformers to predict phishing websites from only URLs has five advantages: 1) requires little training time (230 to 320 s), 2) is more easily updatable than feature-based approaches because no pre-processing of URLs is required, 3) is safer to use because phishing websites can be predicted without physically visiting the malicious sites, 4) is easily deployable for real-time detection and is applicable to run on mobile devices, and 5) using a mobile specific transformer yields comparable performance and predicts 3 times faster than the other transformer models in this study. read more... read less...
Keywords: Social Engineering Attack, Phishing Detection, Deep learning, Transformers, Mobile Application
JUSPN, volume-17 , Issue 1 (2022), PP 27 - 34
Published: 04 Aug 2022
by Simon André Scherr, Mher Ter-Tovmasyan, Frauke Neugebauer, Steffen Hupp, Frank Elberzhager from Fraunhofer IESE, Kaiserslautern, Germany, 67663
Abstract: Mobile apps are becoming increasingly important in everyone's daily life. The success of an app is linked to high user acceptance. Therefore, it is necessary to capture users' expectations, needs, and problems regarding an app in any situation. By continuously capturing and analyzing user feedback, developers can evaluate the level of user acceptance. There are various feedback channels, such as app stores, social networks, and within the app, which can be used to capture user feedback. As we already have experience with feedback from app stores and social networks, we wanted to investigate inapp feedback approaches and thus conducted a mapping study to understand the state of the art of these approaches.We analyzed 36 publications and derived requirements for in-app feedback tools. Based on that, we defined requirements for an in-app feedback tool to describe its prototypical realization. Then we performed an evaluation regarding user acceptance of our tool with 33 participants. The evaluation showed a high rate of acceptance for the tool among the participants. The results also highlighted improvement areas for our tool, such as optimizing the rate of requests for feedback. We plan to address these aspects in future work and to continue improving our tool. read more... read less...
Keywords: Mobile Apps, Software Quality, User Feedback, User Experience, In-App Feedback
JUSPN, volume-17 , Issue 1 (2022), PP 19 - 26
Published: 04 Aug 2022
by Konstantinos Koukoulis, Dimitrios Koukopoulos from University of Patras, Department of History and Archaeology, Agrinio, Greece and Hellenic Open University, Patras, Greece
Abstract: The route followed by a refugees’ group towards its destination can, in many cases, be regarded as the reference point around which the collective memory of such a group of people is intertwined. Such a route enriches people's memories with common experiences, targeting places and interactions among refugees and locals and may affect the collective memory of such people positively or negatively. A crucial point in the modern paradigm of smart cities is the quality of life. To achieve quality of life for its citizens a smart city should establish ways to reduce alienation among the different groups that constitute the city's palimpsest. Understanding the different cultural identities and improvement of social cohesion between different people groups is one of the basic vehicles towards this goal. In this paper, we attempt to give a first answer to such problems proposing and implementing specific services in the context of a crowdsourcing system for collective memory management using interactive maps. We demonstrate a basic usage scenario to show the strength of the implemented services, along with a two-step evaluation showing positive results. read more... read less...
Keywords: Crowdsourcing, Collective Memory Management, Big Data, Mobile Services and Platforms
Small Towns and Regional Municipalities Implement SMART Solutions, Identified Issues, and Challenges
JUSPN, volume-17 , Issue 1 (2022), PP 11 - 18
Published: 04 Aug 2022
by Peter Balco, Dorota Košecká, Peter Bajzík from Comenius University, Faculty of Management, Odbojárov 10, P. O. Box 95, Bratislava, 82005, Slovakia, ATOS IT Solutions and Services s.r.o., Pribinova 19, Bratislava Slovakia
Abstract: In the last decade, SMART services and solutions projects have been concentrated mainly in large and economically strong cities where large populations are concentrated. This is place where the potential is found that predicts return on investment as well as further development. As not all cities are predestined for this type of project, we were interested in how small towns and cities perceive their potential to engage in the implementation of such projects. We believe that the topic of SMART solutions should not be a significant priority only for large cities. We decided to analyze the needs of small cities in terms of implementing SMART solutions. We also tried to identify the challenges as well as the requirements to accelerate this process. In our analysis, we focused on the Slovak Republic, which is a good candidate for such research due to its structure of cities and municipalities. In the process of data collection, we approached more than 2,744 s mall towns and municipalities with a population of up to 5,000 with a request for information, and 547 town and municipality representatives responded to the questionnaire. The results of the research show an interesting and clear finding, s mall towns and rural areas also want SMART. In the research, we identified several not simple problems that need to be solved for the successful implementation of these goals read more... read less...
Keywords: SMART CITY, clusters, SMART Services, SMART Villages, SMART regions
JUSPN, volume-17 , Issue 1 (2022), PP 01 - 09
Published: 04 Aug 2022
by Sven Storck, Kathleen Späth, Claudia Nass Bauer, Frank Elberzhager from Fraunhofer IESE, Kaiserslautern, Germany, 67663
Abstract: More freedom, more flexibility, and reduced travel time for knowledge workers are just a few advantages of new work models, which have been discussed for several years now. Moreover, the problem of rural depopulation can be addressed by this concept. In the research project “Digital Teams”, we aim to develop a digital open-source platform to support and optimize the digital work environment for distributed teams in rural areas, especially in the knowledge work context. In this article, we focus on the research and design aspects of the project. We provide insights on how we have used the design thinking approach for our research and the development of the UX- and UI-design concepts. We are focusing on an ecosystem concept, which provides all relevant services for knowledge workers in their daily work life, rather than focusing on a specific remote collaboration purpose. We present initial evaluation results, which tend to be positive and give an outlook on future work. read more... read less...
Keywords: New Work, Design Thinking, Collaboration, Groupware, Rural Depopulation
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
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
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
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