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Enhancing Cybersecurity Awareness through Gamification: Design an Interactive Cybersecurity Learning Platform for Multimedia University Students
No full textCybersecurity has emerged as a critical imperative in contemporary digital landscapes, necessitating heightened awareness and proficiency across all demographic segments. Accordingly, this research has been meticulously crafted to delve into the complexities of cybersecurity awareness, with a specific focus on university students. The study embarks on an exhaustive analysis encompassing the evaluation of cybersecurity awareness levels within the targeted groups, the identification of prevailing issues and practices, and an exploration of novel methodologies, notably gamification, to fortify cybersecurity knowledge and skills among diverse user cohorts. Central to this investigation is the efficacy of gamified learning environments tailored expressly for augmenting cybersecurity awareness among university students. Through a comprehensive examination of existing platforms, methodological frameworks, and user interactions, this research outlines critical trends, challenges, and latent opportunities within the cybersecurity awareness domain, with a specific emphasis on gamification's transformative potential. The study not only identifies key areas for improvement but also proposes innovative solutions rooted in gamified learning paradigms, with the overarching goal of fostering engaging, effective, and sustainable cybersecurity awareness initiatives among students. Drawing upon a synthesis of theoretical constructs, empirical insights, and pragmatic recommendations, this research significantly contributes to the evolving discourse on cybersecurity education. By underscoring the transformative efficacy of gamification as a pivotal tool in cybersecurity awareness initiatives, this study overlays the way for substantial advancements in cybersecurity education paradigms, offering a roadmap for enhancing cybersecurity awareness levels among university students and beyond
Cyber-Securing Medical Devices Using Machine Learning: A Case Study of Pacemaker
No full textThis study aims to enhance the cybersecurity framework of pacemaker devices by identifying vulnerabilities and recommending effective strategies. The objectives are to pinpoint cybersecurity weaknesses, utilize machine learning to predict security breaches, and propose countermeasures based on analytical trends. The literature review highlights the transformation of pacemaker technology from basic, fixed-rate devices to sophisticated systems with wireless capabilities, which, while improving patient care, also introduce significant cybersecurity risks. These risks include unauthorized entry, data breaches, and life-threatening device malfunctions. The methodology in this study utilizes a quantitative research approach using the WUSTL-EHMS-2020 dataset, which includes network traffic features, patients' biometric features, and attack label. The step-by-step method of machine learning prediction includes data collection, data preprocessing, feature engineering, and models’ training using Support Vector Machines (SVM) and Gradient Boosting Machines (GBM). The implementation results used evaluation metrics like accuracy, precision, recall, and F1 score to show that GBM model outperformed the SVM model. The GBM model achieved higher accuracy of 95.1% compared to 92.5% for SVM, greater precision of 99.6% compared to 96.7% for SVM, better recall of 94.9% compared to 42.7% for SVM, and a higher F1 score of 76.3% compared to 59.0% for SVM, making GBM model more effective in predicting cybersecurity threats. This study concludes that GBM is an effective machine learning model for enhancing pacemaker cybersecurity by analyzing network traffic and biometric data patterns. Future recommendations for improving the pacemaker cybersecurity include implementing GBM model for threat predictions, integration with existing security measures, and regular model updates and retraining
Vision-based Egg Grading System using Support Vector Machine
No full textBeing known as a nutrient-dense food, eggs are high in demand in the marketplace and high-quality eggs are much sought-after. Hence, egg grading is in place to sort eggs into different grades. Experienced graders are required for their knowledge to classify egg grades and as humans are involved, errors when performing manual grading are unavoidable. This study aims to develop a vision-based egg classification system that requires minimal human intervention. The proposed system houses a camera to acquire real-time images of the eggs and these images are served as the input to the algorithm. Based on the 6 geometrical features derived from the geometric parameters of the egg image, the eggs are classified using Support Vector Machine (SVM). The experiment results show the proposed egg grading system with a linear kernel SVM model can yield as high as 92.59% training accuracy.
Manuscript received: 16 Dec 2023 | Revised: 25 Jan 2024 | Accepted: 15 Feb 2024 | Published: 30 Apr 202
Exploring Recommender Systems in the Healthcare: A Review on Methods, Applications and Evaluations
No full textDue to the vast amount of publicly available online data, people may find it difficult to obtain relevant information to find food or meals that match their taste and health while maintaining a healthy lifestyle. The overload of information makes it difficult to separate relevant, personalized information from massive volumes of data. Recommendation systems (RS) are suggestion system that provides users with information that they may be interested in. With RS, this enormous amount of information is filtered and analyzed for further insights. This paper will explore several generations of recommender systems in the healthcare industry. This paper offers a thorough analysis of the current state-of-the-art recommender systems focusing on the grouping, methods, application and evaluation metrics. In addition, several challenges for further research and improvement in this domain are also outlined in the paper.
Manuscript received: 2 Apr 2024 | Revised: 22 June 2024 | Accepted: 5 July 2024 | Published: : 30 Sep 202
Hypertension Diagnosis: A Review on Techniques to Measure Blood Pressure
No full textHypertension is both a symptom and a cause of health complications. The consequences of long-term hypertension are more documented than short-term hypertension, so detection methods emphasize the presence of long-term hypertension. These methods require confirmation of consistently high blood pressure. Thus, established methods require long-term observation of the patient, which poses the risk of starting treatment too late for effective mitigation. These methods are also not portable enough for long-term observation to be comfortable. The goals of on-going research into detection of hypertension are the confirmation of hypertension with shorter durations of observation, and comfortable and convenient methods of frequent blood pressure checks. Future methods that are promising include wearable non-auscultatory sensors, AI-assisted comparisons of short-term observation data against databases of readings, and small implants.
Manuscript received: 14 June 2024 | Revised: 1 Aug 2024 | Accepted: 3 Sep 2024 | Published: : 30 Sep 202
Unpacking Qalb Behavioral Traits through the Lens of Maqasid al-Shariah: A Pathway to Foster Inclusive Entrepreneurial Intentions in the Muslim Community: DOI: https://doi.org/10.33093/ijomfa.2024.5.1.9
No full textIn Malaysia, a worrisome trend is emerging as an increasing number of individuals find themselves trapped within the poverty bracket and the Base of the Pyramid (BoP) socioeconomic groups. To address the economic and social challenges faced by these marginalized communities and to contribute significantly to poverty reduction and overall well-being, inclusive entrepreneurship has emerged as a pivotal strategy. This study delves into the critical imperative of inclusive entrepreneurship, which often eludes existing quantitative measurements of societal well-being. These measurements frequently overlook the fundamental dimensions of social and psychological well-being inherent to inclusive entrepreneurship. Drawing from the Islamic framework of Maqasid al-Shariah, which elucidates the objectives of Islamic law, we introduce a unique concept—Qalb-based Entrepreneurial Traits. These traits are rooted in moral values and ethics, forming a bridge between Islamic principles and entrepreneurial intentions. Using a quantitative approach, we explore the determinacy of these Qalb-based entrepreneurial traits in conjunction with three key antecedents derived from the theory of planned behavior. Our study specifically focuses on assessing the entrepreneurial intentions of Muslim students enrolled in Malaysian institutions of higher learning (IHLs). Our survey encompassed 287 respondents, and we conducted a rigorous multiple regression analysis using PLS-SEM to scrutinize the relationships between these variables. Our findings leave no room for doubt—Qalb-based behavioral traits exert a significant influence on inclusive entrepreneurial intentions (IEI) among Muslim youth in Malaysia. Furthermore, we uncover that gender plays a moderating role in the relationships between Darurriyyat and Tahsiniyyat Qalb behavioral traits and inclusive entrepreneurial intentions, shedding light on the nuanced dynamics of these determinants. In essence, this study offers valuable insights into the pivotal role of Islamic ethical principles in shaping inclusive entrepreneurship. Beyond theoretical contributions, it provides practical implications for policymakers and stakeholders dedicated to addressing the pressing challenges of poverty and social well-being within the Muslim community in Malaysia
How do different values affect pro-environmental behaviours and happiness?
No full textSchwartz’s Value Theory has brought about a rebirth of research on human values. However, the mediating role of pro-environmental behaviours and happiness on human values is inadequate. Thus, this study adopted the bipolar dimensions of human values organised by Schwartz, self-transcendence, and self-enhancement as the independent construct of values to explore the mediating role of pro-environmental behaviours and happiness. Data were taken from a random sample of Klang Valley residents (N = 700) in Malaysia. Partial least squares and structural equation modeling tools were used to achieve the aims. The study found that self-transcendence plays a vital role in affecting pro-environmental behaviours and happiness. Pro-environmental behaviours lead to happiness, and it is an important mediator between human value with happiness. Happiness leads to pro-environmental behaviours, and it is also an important mediator between human values and pro-environmental behaviours. The results confirm that psychological factors (happiness) regarding the environment play a prominent role in determining pro-environmental behaviours. Hence, cultivating self-transcendence values is crucial to foster pro-environmental behaviours and boosting happiness. Engaging with pro-environmental behaviours is important to generate positive feelings, which will eventually boost happiness. Nurturing a sense of happiness will motivate pro-environmental behaviours as well
Who moved my candy (sugar)? Happiness or money
No full textThis study examines the interlinkages among happiness, income and sugar consumption using a short-balanced panel data of 129 countries for the period 2016-2020. Previous studies are mostly country-wise and do not consider their relationships simultaneously. This study generally finds that the direction of causality is from income to happiness, and to sugar consumption. Similar finding is observed for the developing economies. Meanwhile, income does cause happiness for the developed economies. For the economies in transition, it is from happiness to income and to sugar consumption. Both the impulse response and variance decomposition analyses complements these findings. This study is relevant for policy implications especially, to increase the society’s income.
Determinants of foreign direct investment in Malaysia
No full textBy using annual time series data spanning 1995 to 2021, this study examines the key factors that influence foreign direct investment (FDI) inflows to Malaysia. This study employed the conventional determinants of FDI and incorporated an under-studied corruption variable to capture the political impact on FDI inflows to Malaysia. The ARDL bounds test results identified short- and long-run positive relationships between FDI inflows and two tested variables: market size and education. A positive long-run relationship was also found between inflation rates and FDI inflows. By contrast, infrastructure facilities were found to be negatively related to FDI inflows in the long run. More importantly, the results ascertained that higher corruption levels hamper FDI inflows to Malaysia in the long term. Moreover, the Granger causality test revealed that market size, inflation rate, and infrastructure facilities are critical causal factors that explain the fluctuations in FDI inflows to Malaysia. In light of the results obtained, some policy recommendations are highlighted to help enhance the attractiveness of FDI, thereby stimulating economic growth in Malaysia
Design and Improvement of Mobility Aid Walker By Using QFD and TRIZ Method
No full textThis research paper aims to address several challenges associated with the use of walkers, namely, the problem of incorrect posture leading to physical discomfort, increased product requirements, lack of collapsibility affecting portability, and storage issues caused by the walker's large size. To effectively overcome these challenges, a combined approach of Quality Function Deployment (QFD) and the Theory of Inventive Problem Solving (TRIZ) is employed. The House of Quality (HOQ) is utilized as a tool to analyze the relationship matrix within the HOQ and the characteristics of the product. The TRIZ method is applied, leveraging 39 parameters and 40 Inventive Principles, to solve the identified problems. The concept development phase encompasses various techniques such as hand sketches, a sketchbook, Solidworks, and other pertinent tools. Subsequently, a prototype is developed and subjected to a validation survey. The results of the survey demonstrate a high level of satisfaction among the respondents, indicating that the walker successfully fulfills their requirements.
Manuscript Received: 30 June 2023, Accepted: 16 August 2023, Published: 15 March 2024, ORCiD: 0000-0003-0143-663