Mobile Users Research Articles

SAM-PAY: A Location-Based Authentication Method for Mobile Environments

Wireless, satellite, and mobile networks are increasingly used in application scenarios to provide advanced services to mobile or nomadic devices. For example, to authenticate mobile users while obtaining access to remote services, a two-factor authentication mechanism is typically used, e.g., based on the ownership of a personal mobile phone, device, or (smart)card and the knowledge of a (static) username and password. Nevertheless, two-factor authentication is considered roughly “adequate” for security problems encountered today on the Internet and even less for ubiquitous or mobile environments. To increase the authentication level, several authentication methods of different classes may be combined to achieve more reliable user identification. In particular, location technologies allow ubiquitous applications to better exploit the (physical) location information in the authentication process. Consequently, in security applications based on multiple authentication factors, an additional authentication factor could be the location information protected for integrity against undesired modification. We present the SAM-PAY authentication method, which combines different authentication factors to obtain a more reliable user identification. The mechanism is based on the use of a (location-aware) device, the location information certified by a trusted external party, such as a component or element in a telecom network, and the knowledge of data, like a static PIN and a dynamically generated one-time password. We also describe the design and implementation of a real case scenario exploiting our SAM-PAY method, namely the refueling service at a self-service gas station. The test-bed put in place for this service demonstrates the feasibility and effectiveness of the SAM-PAY method in open mobile environments.

FACTORS SHAPING CONSUMER BEHAVIOUR IN MOBILE BANKING ADOPTION AND USAGE WITH REFERENCE TO AHMEDABAD DISTRICT

This study examines the factors influencing the adoption and usage of mobile banking in Ahmedabad District, focusing on device preferences, banking type, and user convenience. The research aims to identify preferred devices for mobile banking and their impact on usage frequency, explore the relationship between bank type and the duration of association with mobile banking usage patterns, and evaluate the elements that encourage mobile banking adoption. Utilizing a descriptive research design, primary data was collected from 708 respondents through a structured Google Form questionnaire. Purposive sampling was employed to target mobile banking users, and the research was conducted in October 2024. The findings revealed that mobile banking is predominantly preferred over internet banking, with confidentiality and accessibility being key factors in its adoption. Private sector banks were more popular, with users exhibiting long-term loyalty. The study suggests that banks should focus on enhancing user-friendly features and security to boost mobile banking adoption, particularly among younger users. The implications highlight the importance of transparency, convenience, and customer-oriented services in the growing mobile banking sector. This research contributes valuable insights for banks seeking to improve their mobile banking services and cater to the evolving needs of their customers.

Moderating Effect of Trust on Determinants of Customer Satisfaction Factors

In connection with customer satisfaction of mobile banking users, there are several problems, including being vulnerable to “smishing” fraud, one of which involves rogue mobile applications. This study aims to determine the role of trust in moderating the effect of security level, and service features on customer satisfaction of mobile banking users of Bank Sumsel Babel Syariah UIN Raden Fatah Palembang Branch Office. This type of research is quantitative using statistical techniques to test the hypothesis. The data used is primary data with data collection techniques using questionnaires distributed directly to 100 respondents as samples with accidental sampling techniques while secondary data uses literature studies. The data analysis technique in this study uses SmartPLS with outer model testing including convergent validity, average variance extracted (AVE) and composite reliability and inner model testing including R square and hypothesis testing. The results showed that based on testing convergent validity, average variance extracted (AVE) and composite reliability, it is known that all variables including their indicators are declared valid and reliable, then the R-square value is 0.579 which means that customer satisfaction can be explained by 57.9% by the variables of security level, service features and trust, while the remaining 42.1% is explained by other variables outside the study. Then the results of hypothesis testing show that the variables of security level, service features and trust directly have a positive and significant effect on customer satisfaction. Then the trust variable is unable to moderate the effect of the level of security and service features on customer satisfaction.

Satellite Edge Computing for Mobile Multimedia Communications: A Multi-agent Federated Reinforcement Learning Approach

The rapid expansion of satellite mega-constellations has highlighted the potential of satellite edge computing as a promising solution for mobile multimedia communications. While reinforcement learning has been explored in satellite communication systems, significant challenges remain, including high latency and limited resources. This study addresses these challenges by focusing on the joint optimization of communication, computing, and caching resources in satellite edge computing to support mobile multimedia applications. A mixed-integer nonlinear programming (MINLP) problem is formulated with the objective of minimizing the total delay experienced by mobile users, subject to multidimensional resource capacity constraints, which is NP-hard and computationally intractable to solve in polynomial time. To address this complexity, we propose a multi-agent federated reinforcement learning (MAFRL) approach as an efficient solution. In this framework, each satellite operates as an autonomous learning agent equipped with an actor-critic network structure. The proposed MAFRL method demonstrates superior performance, achieving lower delays compared to all baseline approaches. It effectively optimizes delay-sensitive mobile multimedia communications by minimizing total delay and improving task offloading ratios. To the best of the authors’ knowledge, this study is the first to introduce a MAFRL-based approach for resource allocation in satellite edge computing, marking a significant contribution to the field.

Свойства трафика видеоконференций 5G и его прогнозирование методами искусственного интеллекта

The objectives and prospects of short- and long-term forecasting of data traffic in 5G networks are outlined. An overview of current traffic forecasting methods is presented. A large number of works indicate a variety of ap-proaches to the analysis and forecasting of mobile traffic. These approaches include both traditional statistical methods and deep learning methods, which is an important factor for the development of network technologies and optimization of radio access networks. Forecasting and management plays an important role both at the level of the entire 5G network and at the level of its individual components. With the increase in the volume of big data, traffic forecasting becomes a difficult task due to mobility and different user behavior. In connection with this circumstance, using the example of mobile traffic data from Google Meet, MS Teams and Zoom video conferencing systems, the features of this type of traffic are analyzed and it is concluded that the distribution of time intervals between packet arrivals corresponds to a stable distribution. Based on the results of studying some machine learning methods designed to predict time series, a comparative analysis of the effectiveness of these methods for short-term forecasting of traffic intensity was performed. The following models were used for analysis and prediction: naive seasonal, exponential smoothing, linear regression, ARIMA, Theta and NBEATS. It was found that linear regression provides the best quality indicators for Google Meet traffic, the exponential smoothing method shows the best quality indicators for MS Teams, and the Theta method has the best indicators for Zoom.

STAR-RIS-aided NOMA communication for mobile edge computing using hybrid deep reinforcement learning

Reconfigurable intelligent surface (RIS) is expected to be able to significantly reduce task processing delay and energy consumptions of mobile users (MUs) in mobile edge computing (MEC) by intelligently adjusting its reflecting elements’ phase-shifts and amplitudes. Nevertheless, both the passive and active RISs have the disadvantage of only reflecting the received signals, which means that the transmitters and receivers must be located on the same side of the RIS. This may be unrealistic due to the movement of MUs. Simultaneously transmitting and reflecting (STAR) RIS, which can simultaneously transmit and reflect incident signals to achieve full-area coverage, has been recognized as a revolutionary technique to solve the above-mentioned problem. For the STAR-RIS-aided non-orthogonal multiple access (NOMA) communication MEC, we first formulate an optimization problem to minimize the sum of weighted delay and energy consumptions of all MUs which can move randomly at low speeds. Then, under the practical coupled phase-shift model of STAR-RIS, we propose a hybrid deep reinforcement learning (DRL) scheme, in which we determine the amplitudes and phase-shifts of STAR-RIS, task offloading decisions of MUs, and computation resource allocations of MEC servers by using the deep deterministic policy gradient (DDPG) and Dueling deep Q learning (DQN). Finally, we validate and evaluate the performances of our proposed scheme through extensive simulations, which show that our proposed scheme outperforms the existing baseline schemes and its performance can indeed be improved due to the use of STAR-RIS.

Service Provider Empathy and Responsiveness for Customer Satisfaction in the Telecommunications Sector

Customer satisfaction remains one of the crucial determinants of customer patronage and eventual organizational performance. Exploring service provider empathy and responsiveness for customer satisfaction in the telecommunications sector was the main thrust of this paper. The effects of empathy and responsiveness as dimensions of service quality were examined to establish their effect (if any) on satisfaction of mobile network users in the three major senatorial districts in Edo state. Appropriate research questions in alignment with the objectives of the study were raised, coupled with corresponding hypotheses which were tested to conduct the study. The study employed cross sectional research design executed through a survey using a total of 400 respondents as sample derived from a population of 7.1 million subscribers using the Krecjie and Morgan table for sample size determination. Data was obtained through a well- structured instrument designed in a five form Likert scale. The instrument was established to be reliable by using Cronbach alpha test. The obtained alpha values were over 0.7 for all constructs of the variables studied, indicating a high degree of items consistency. We analyzed the data using regression analysis for hypotheses testing. The results show significant effect of service provider responsiveness and service provider empathy on customer satisfaction. From the findings of the study, it is recommended that the telecommunication companies should boost customer satisfaction.

2-D deployment of aerial base stations: A simulation model to provide voice communication

Unmanned aerial vehicles (UAVs) offer a potential alternative for providing voice services in areas where communication is disrupted due to natural disasters. These UAVs can be configured as aerial base stations (ABSs), enabling the deployment of a temporary communications network. However, communication networks based on ABSs pose several significant challenges. One of these challenges involves addressing interruptions or limitations in network coverage caused by natural disasters. In such situations, there is a high likelihood that users within the affected area may be unable to communicate due to a lack of coverage. This is a complex problem because it depends on factors, such as the mobile user locations, the characteristics of the air-to-ground channel, and geographical details of the area. In this work, we propose an optimization model to determine the placement of a set of ABSs within a limited disaster area that maximizes the probability of successful voice services (PSVSs). This optimization model integrates a network evaluation model that analyzes the wireless environment at a specific time. The network evaluation model utilizes two-ray and Rayleigh channel models, enabling the simulation of a worst-case scenario for wireless communication systems. We evaluate the proposed optimization model using the (1+1)-evolution strategy with a one-fifth success rule. We explore various parameter configurations to understand their impact on algorithm performance. This analysis helps identify the configuration of the optimization model that yields the maximum PSVSs. Simulation results indicate that by appropriately configuring the evolution strategy algorithm and comparing random ABS locations with those determined ABS locations by the evolution strategy algorithm, the PSVS can be enhanced by an average of 60%.

Analisis Komposit Epoxy HGM Carbon Fiber dan Epoxy HGM Sisal Woven sebagai Material Rompi Anti Peluru

This research examines the potential of Epoxy-HGM-Carbon Fibre and Epoxy HGM Sical Woven Fibre composites as alternative materials for bulletproof vests. These two materials were chosen because they have similar ballistic protection capabilities to kevlar but with lighter weight and more economical cost. Using the finite element method, this study simulates the resistance of each composite to the penetration and impact energy of projectiles in accordance with the NIJ 0101.06 standard to protect users from ballistic threats. The simulation results show that the Epoxy-HGM-S Sisal Woven Fibre specimen at an optimum thickness of 30 mm as well as Epoxy-HGM-Carbon Fibre at a thickness of 18 to 30 mm are able to meet the penetration, Back Face Signature (BFS), and residual kinetic energy criteria that comply with the safe limits for users. This research makes an important contribution to the identification of alternative materials that not only improve user comfort and mobility, but also maintain ballistic protection effectiveness for military and security applications, especially for personnel who need protection against ballistic projectiles.

Examining the relationship between technological innovation, environmental social governance and corporate sustainability: the moderating role of green operational innovation

While environmental social governance (ESG) and technological innovation are important foundations for corporate sustainability, how ESG activities and technological innovation impact corporate sustainability remains limited in the current literature. This study therefore examined the relationship between corporate sustainability, ESG activities and technological innovation through the moderating role of green operational innovation. To achieve the aims of this study, primary data were collected from 488 respondents of mobile app platform users for hypothesis testing. The collected data were analyzed using statistical analysis such as SPSS and AMOS. Findings show that ESG activities and technological innovation are related to corporate sustainability. This study finds green operational innovation to positively moderates the relationship between ESG, technological innovation, and corporate sustainability. This study further affirms that corporate sustainability can benefit from ESG activities, while green operational innovation can contribute to sustainable corporate growth and promote technological innovation activities. The originality of this study lies in the evidence that ESG activities, technological innovation, and green operational innovation are important factors that drive firms’ sustainable growth.

Analysis of the Influence of System Quality, Information Quality, and Service Quality on User Satisfaction Mobile Banking Users

Mobile banking is one of the banking services that is integral to everyone's daily activities. However, sometimes its use experiences various obstacles, whether it is from the system, service, or information. This study aims to analyze the effect of system quality, information quality, and service quality on mobile banking user satisfaction. Using a quantitative approach and survey design, this study collected data through questionnaires distributed to mobile banking users. Regression analysis was used to identify the relationship and impact of each factor on user satisfaction. The results showed that system quality, information quality, and service quality have a significant influence on the level of user satisfaction. The findings emphasize the importance for banks to focus on continuous improvement in these aspects to enhance user experience and ensure high customer loyalty. This research provides valuable insights for the banking industry in designing more effective strategies to optimize mobile banking services.

How satisfied am I with mobile wallets? Exploring the nexus between MSQual, hedonism, and satisfaction

The widespread use of mobile devices for banking has been revolutionary, with the rise in mobile wallet adoption turning it into a competitive space for industries like high-tech firms, banks, and other entities aiming to attract users to their platforms. In India, mobile wallets have rapidly gained popularity, emerging as a preferred payment method among internet users. This trend has driven a substantial rise in mobile wallet transactions over the past 4–5 years. While many studies have explored how users perceive mobile devices, few have focused on mobile wallet user satisfaction, especially in developing countries. To bridge this gap, this study investigates key factors influencing mobile wallet user satisfaction. It introduces a 17-item scale encompassing three factors tailored to the Indian context.

Exploring Mobile Application User Experience Through Topic Modeling

Exploring user satisfaction and experience is the first step of software product improvement and business sustainability. The primary goal of this research is to investigate how companies can use topic modeling to understand mobile application user experience and offer methodological steps for identifying factors shaping it. SalesForce was selected for this case study as it was the most widely used CRM application in 2023. This study aims to uncover factors influencing positive and negative user experience, to compare and systematize them, and to indicate the business implications of topic modeling findings. For this study, authors collected 9081 online reviews of the SalesForce application from Google Play Store. The corpus is divided into three subsets based on the associated star ratings, where four and five stars indicate positive sentiment, three mixed sentiment, and two and one negative. Each subset is analyzed using the Latent Dirichlet Allocation algorithm, hyper-parameters were fine-tuned, and the experimental models were evaluated with coherence measures to determine the model with the optimal number of topics. The results indicate that the driving factors of positive experience are seamless functionality and reliability, design flaws and performance issues shape negative experiences, and mixed experiences arise from inconsistencies in usability and authentication challenges.

P-1796. Uptake, Utilization, and Satisfaction of a Mobile Application Decision Support Tool to Enhance Antimicrobial Stewardship in Colorado

Abstract Background Several barriers to antimicrobial stewardship (ASP) in various Colorado hospitals were previously identified, including lack of clinical pathways, antibiotic dosing knowledge in neonatal and pediatric populations, and understanding of stewardship methodologies. We sought to mitigate barriers to robust ASP in Colorado hospitals through creation of a mobile application decision support system, Firstline (www.Firstline.org). Our objective is to describe the uptake, usage patterns, and satisfaction of Firstline across the state. Figure 1 Run chart of monthly active users of the Children’s Colorado and Denver Health Firstline app from beginning of November 2023 through end of April 2024. Methods ASP teams at Children’s Hospital Colorado (CHCO) and Denver Health (DH) partnered with Firstline to develop the app with locally curated content including: 1) CHCO and DH clinical pathways, 2) pathogen information, 3) antimicrobial information, and 4) infection prevention and ASP resources. The CHCO platform went live October 10th, 2023, and DH on October 31st, 2023. Firstline provided analytic data on the number of users and usage patterns. The CHCO Physician Relations team and the Colorado Department of Regulatory Agencies (DORA) Professional and Occupational Licenses Information Marketplace provided Practitioner data. Feedback on the app was obtained via a REDCap survey distributed through Firstline. Figure 2 Run chart of monthly active users of the Children’s Colorado and Denver Health Firstline app from beginning of November 2023 through end of April 2024. Results A total of 3,287 unique mobile users accessed CHCO or DH Firstline from launch through April 2024. There were 718 average monthly active users (Figure 1). In total, 13% of Colorado practitioners from all regions accessed Firstline through April 2024 (Figure 2). Over 60% of survey responders used the app daily or weekly, and found the app very easy to use. Support with antimicrobial choice or dosing was the most common reason for using the app. The majority of survey responders noticed a positive enhancement in antibiotic selection, dosing, and guideline utilization through use of the app. 100% of respondents advocated for ongoing support of Firstline (Table 1). Table 1 Table of cumulative responses from the REDCap Firstline satisfaction survey. ASP, Antimicrobial Stewardship Program; IP, Infection Prevention. Conclusion We disseminated a mobile application support tool to augment ASP in Colorado with positive initial feedback. Widespread dissemination to rural communities in Colorado is ongoing. Future work includes assessing the impact of the app on antimicrobial utilization, guideline adherence, and implementation of priority core CDC elements for ASP. Disclosures Sarah K. Parker, MD, Colorado Department of Health and Environment: Advisor/Consultant|Pfizer Global Bridges: Grant/Research Support

A Review on Secure Authentication Mechanisms for Mobile Security

Cybersecurity, complimenting authentication, has become the backbone of the Internet of Things. In the authentication process, the word authentication is of the utmost importance, as it is the door through which both Mr. Right Guy and Mr. Wrong Guy can pass. It is the key to opening the most important and secure accounts worldwide. When authentication is complete, surely there will be passwords. Passwords are a brain-confusing option for the user to choose when making an account during the registration/sign-up process. Providing reliable, effective, and privacy-preserving authentication for individuals in mobile networks is challenging due to user mobility, many attack vectors, and resource-constrained devices. This review paper explores the transformation and modern mobile authentication schemes, categorizing them into password, graphical, behavioral, keystroke, biometric, touchscreen, color, and gaze-based methodologies. It aims to examine the strengths and limitations focused on challenges like security and usability. Standard datasets and performance evaluation measures are also discussed. Finally, research gaps and future directions in this essential and emerging area of research are discussed.

Exploring In-Network Computing with Information-Centric Networking: Review and Research Opportunities

The advent of 6G networks and beyond calls for innovative paradigms to address the stringent demands of emerging applications, such as extended reality and autonomous vehicles, as well as technological frameworks like digital twin networks. Traditional cloud computing and edge computing architectures fall short in providing their required flexibility, scalability, and ultra-low latency. Cloud computing centralizes resources in distant data centers, leading to high latency and increased network congestion, while edge computing, though closer to data sources, lacks the agility to dynamically adapt to fluctuating workloads, user mobility, and real-time requirements. In-network computing (INC) offers a transformative solution by integrating computational capabilities directly into the network fabric, enabling dynamic and distributed task execution. This paper explores INC through the lens of information-centric networking (ICN), a revolutionary communication paradigm implementing routing-by-name and in-network caching, and thus emerging as a natural enabler for INC. We review state-of-the-art advancements involving INC and ICN, addressing critical topics such as service naming, executor selection strategies, compute reuse, and security. Furthermore, we discuss key challenges and propose research directions for deploying INC via ICN, thereby outlining a cohesive roadmap for future investigation.

The Strategic Role of Promotion in Moderating the Influence of Trust and Convenience on Mobile Banking Service User Loyalty

Mobile banking services are growing rapidly in the digital era, but the big challenge for banks is maintaining user loyalty. This study aims to analyze the influence of customer trust and ease of use on the loyalty of mobile banking service users, with promotion as a moderation variable. The method used is quantitative with a survey approach, where 105 respondents are selected by purposive sampling based on the criteria of active mobile banking users for at least 6 months, over 18 years old, have received promotions, and have a transaction frequency of at least 3 times per month. Data analysis was carried out by multiple linear regression using JASP software. The results showed that customer trust had a significant influence on user loyalty with a regression coefficient of 0.630 (p < 0.05), while ease of use had a very significant effect with a regression coefficient of 0.705 (p < 0.05). Promotion also plays a role as a moderation variable that strengthens the relationship between trust and loyalty (0.214; p < 0.05), as well as between convenience and loyalty (0.430; p < 0.05). The regression model shows an Adjusted R-squared value of 0.684, which indicates that the model can account for 68.4% variance in user loyalty. These findings emphasize the importance of building customer trust, providing ease of use, and designing effective promotions to increase mobile banking service user loyalty.

Advanced Path Planning for UAV Swarms in Smart City Disaster Scenarios Using Hybrid Metaheuristic Algorithms

In disaster-stricken areas, rapid restoration of communication infrastructure is critical to ensuring effective emergency response and recovery. Swarm UAVs, operating as mobile aerial base stations (MABS), offer a transformative solution for bridging connectivity gaps in environments where the traditional infrastructure has been compromised. This paper presents a novel hybrid path planning approach combining affinity propagation clustering (APC) with genetic algorithms (GA), aimed at maximizing coverage, and ensuring quality of service (QoS) compliance across diverse environmental conditions. Comprehensive simulations conducted in suburban, urban, dense urban, and high-rise urban environments demonstrated the efficacy of the APC-GA approach. The proposed method achieved up to 100% coverage in suburban settings with only eight unmanned aerial vehicle (UAV) swarms, and maintained superior performance in dense and high-rise urban environments, achieving 97% and 93% coverage, respectively, with 10 UAV swarms. The QoS compliance reached 98%, outperforming benchmarks such as GA (94%), PSO (90%), and ACO (88%). The solution exhibited significant stability, maintaining consistently high performance, highlighting its robustness under dynamic disaster scenarios. Mobility model analysis further underscores the adaptability of the proposed approach. The reference point group mobility (RPGM) model consistently achieved higher coverage rates (95%) than the random waypoint model (RWPM) (90%), thereby demonstrating the importance of group-based mobility patterns in enhancing UAV deployment efficiency. The findings reveal that the APC-GA adaptive clustering and path planning mechanisms effectively navigate propagation challenges, interference, and non-line-of-sight (NLOS) conditions, ensuring reliable connectivity in the most demanding environments. This research establishes the APC-GA hybrid as a scalable and QoS-compliant solution for UAV deployment in disaster response scenarios. By dynamically adapting to environmental complexities and user mobility patterns, it advances state-of-the-art emergency communication systems, offering a robust framework for real-world applications in disaster resilience and recovery.

Navigating mobile device heightened use: an integrated model to assess mobile user engagement

Purpose The widespread use of mobile devices raises concerns about their negative effects on users’ well-being but also presents business opportunities. To harness this phenomenon effectively, understanding various aspects of user engagement is essential. This study aims to develop and empirically evaluate a conceptual framework for examining user engagement in mobile technology. Design/methodology/approach This study explores user engagement with mobile technology. The authors developed a conceptual model and collected data through an online survey, focusing on engagement with mobile apps, services and devices. The authors analyzed the data to identify factors influencing each aspect of the mobile engagement. Findings The findings suggest that engaging mobile apps should be visually appealing, novel, reliable and enjoyable. Mobile services engage users when they are easily accessible and adaptable to diverse needs. These results emphasize the importance of dissecting mobile technology engagement into app, service and device engagement for a deeper understanding of their impacts. Originality/value This study underscores the significance of comprehensively understanding user engagement in mobile technology. By delineating engagement dimensions and their determinants, it offers insights for businesses to optimize strategies in leveraging mobile user behavior. This structured approach enhances theoretical understanding and has practical implications for designing user-centric mobile technology solutions.

Spatial Correlations Based Fault Tolerant Source Localization Using Wireless Sensor Networks

The source localization is a process to determine the location of a signal source based on measurements from sensor nodes or receivers that are spatially distributed in the area around the source. Localizing intruders and mobile users are some of the utilizations of wireless sensor networks (WSNs) based source localization problem. However, sensor faults and channel noise are the important issues that degrade the source localization performances of the systems. In this paper, we significantly study and improve our recent results; the representative fault tolerant hitting set and feature selection approaches for localizing a source in a decentralized WSN using the faulty sensor nodes and channel noise. First, we propose a technique to place some active sensor nodes in the sleep state such that the source localization performances of the hitting set and feature selection approaches do not significantly degrade. The proposed technique takes advantage of spatial correlations among sensor nodes, where nearby sensor nodes provide same decisions to the fusion center with a high probability. We observe that the performance gap for the results with and without sleeping sensor nodes decreases by increasing total sensor nodes. In addition, we improve our recent results by proposing a technique based on spatial correlations among sensor nodes to minimize the impact of channels’ noises, especially for a higher fault probability of sensor nodes. Finally, extensive simulations on synthetic and real-world data sets validate our theoretical results.