UTAR Institutional Repository (Universiti Tunku Abdul Rahman)
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Anti-cryptojacking system
Get PDFThis final year project is about creating a browser-based Anti-Cryptojacking System to
protect users from hidden mining attacks. Cryptojacking happens when malicious scripts
secretly use a person’s computer resources to mine cryptocurrency without permission. The
system is developed as a browser extension that can block harmful websites using an updated
blacklist, scan webpages for suspicious keywords, functions or scripts, and monitor CPU
usage for unusual spikes. It works quietly in the background and alerts users in real time if a
threat is detected, while making sure normal browsing is not affected. The extension is built
to be lightweight, user-friendly, and easy to install, so even non-technical users can benefit
from it. Research for this project involved reviewing current detection tools, studying
different prevention techniques, and applying them into a practical extension design. Testing
results have shown that the extension can successfully detect and prevent cryptojacking
activities, making it a reliable solution for everyday browsing. This project contributes to the
field of cybersecurity by providing a simple and effective tool that raises awareness and
protects users against cryptojacking attacks
Secure wireless volume digital transaction using blockchain technology
Get PDFThis project details the conceptualization, design, and execution of a secure wireless transaction platform that leverages blockchain technology, specifically to enhance the efficiency and security of peer-to-peer digital payments. The research investigates the integration of blockchain protocols—namely, Ethereum-compatible smart contracts deployed on the Polygon Amoy testnet—with wireless communications to construct a decentralized system capable of reliable batch token transactions. This platform ensures both security and transparency, functions independently of centralized authorities, and demonstrates operational robustness.
The architecture utilizes a custom ERC20 token, referred to as RYN, integrated with advanced batch processing features. The immutability of blockchain records is preserved, as every transaction is indelibly logged on-chain. A mobile application, developed using React Native and the Expo framework, implements a sophisticated QR code processing system. This allows for real-time wireless communication between users: wallet addresses and payment data are encrypted within QR codes, simplifying the transaction process and promoting scalability for practical use cases.
Key technological features incorporated in this system include biometric authentication to reinforce security measures, encrypted wireless data transmission, integration of real-time cryptocurrency price tracking, and comprehensive transaction history management. The system also tackles several prominent challenges in decentralized finance: secure token distribution, optimization of transaction fees (gas), token interoperability, and overall system integrity.
Throughout development, the project team adhered to rigorous testing protocols. Unit and integration tests, as well as thorough security audits, were conducted across multiple environments—including both local Hardhat networks and the Polygon testnet. These measures verified the effective integration of blockchain systems with wireless mobile technology and demonstrated the practical feasibility of secure, decentralized transaction platforms for real-world use that demand wireless data transfer and verifiable digital asset exchange.
Ultimately, this research contributes to the ongoing evolution of blockchain applications by providing a practical framework that combines state-of-the-art decentralized technology
Bachelor of Information Technology (Honours) Communications and Networking
Faculty of Information and Communication Technology (Kampar Campus), UTAR
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with mobile implementation. It offers insight into the potential future architectures for secure digital transactions in increasingly wireless environments
Deep learning-based image segmentation for dermatological lesions
Get PDFGenerally, skin cancers, especially melanomas, have placed a huge health burden throughout the world, with the occurrence of more than 123,000 new cases annually. Early detection of melanoma is critical in preventing the progression of this disease into its invasive stages. However, most people are not giving enough attention to minor skin changes. Sometimes it is even difficult for doctors to distinguish between benign and malignant skin lesions. This study tries to solve it by proposing an automatic deep learning system for segmentation and classification in skin lesion images. This paper proposes a system that incorporates the use of a U-Net-based CNN and DeepLabV3, which proves helpful in the segmentation of an image in such a way that accurate mask. Furthermore, with the helping of the classifier model (ResNet-18) to classify the moles condition such as benign or malignant. The implementation of the system will be foreseen to enhance the diagnostic process, minimizing the time and difficulty brought forth by current methods, including invasive procedures and waiting for test results. This system uses a huge dermatological image database in order to apply deep learning methodologies for classifying a skin lesion with high precision. It will also be able to separate melanomas into either benign or malignant. The proposed automated system can lead to early diagnosis of the disease, which helps in effective early treatment, hence reducing the skin cancer burden. Moreover, the developed system will allow for patients and physicians to upload images through user-friendly web interface showing immediate real-time analysis and diagnosis. This is intended to run smoothly on the web interface, making it accessible both in clinical settings and possibly integrated into web interface for remote diagnostics. The research is done to show how deep learning can radically enhance the speed and accuracy of skin cancer diagnosis through segmentation and classification of skin lesions. If this can be affected with not much loss of time, it could save many lives by early detection and intervention
Web-based volunteer management system
Get PDFThis project focuses on developing a robust web-based Volunteer Management System (VMS) to enhance organisational efficiency in volunteer coordination. The system addresses common pain points in traditional volunteer management, including inefficient skill matching, poor geographical allocation, and low engagement retention. Through comprehensive analysis of existing VMS platforms, critical limitations were identified in dynamic skill assessment and location-aware scheduling. The proposed solution utilises React.js for frontend development, supported by a Node.js backend and MySQL database, creating a responsive and scalable platform. Key innovations include a weighted skill-matching algorithm that evaluates both skills importance level required and volunteer proficiencies, a distance-based matching algorithm using Google Maps Distance Matrix API, and leaderboard gamification elements for volunteer contribution recognition.
Since the universe of possible volunteer skills is too broad, focusing on a single domain helps reduce the scope of skills to a manageable and realistic level. For demonstration purposes, this project applies the system to the animal welfare domain. However, the skill framework is designed to be domain-tailorable, allowing the same system to be adapted for other sectors such as education, healthcare, or disaster relief.
The system offers comprehensive functionalities such as event creation, event modification, event application, and volunteer leaderboard. By integrating these features, the VMS provides organisations with a unified platform for volunteer onboarding, event coordination, and long-term engagement, while offering volunteers a more personalised and accessible experience
Factors affecting Malaysian universities students’ intention to use Artificial Intelligence (AI)
Get PDFWith its enormous potential to improve academic support, teaching, and learning, artificial intelligence (AI) is being increasingly used in higher education. However, there is still uncertainty over students' willingness to use AI tools, particularly in the Malaysian higher education environment. Previous research on AI in higher education has mostly focused on particular institutional types, such as public or private institutions, without taking into consideration both contexts. This research aims to investigate the factors that impact Malaysian university students' intention to use AI, with a particular emphasis on perceived usefulness, perceived ease of use, social influence, and habit. A structured questionnaire was used in a quantitative study design and given to students at public and private universities in Kuala Lumpur, Selangor, Perak, Penang, and other areas. Moreover, 384 valid responses have been collected via non-probability sampling. According to the results, students' intention to use AI is significantly positively impacted by perceived ease of use and habit, but not by perceived usefulness or social influence. These findings provide insightful information that helps educational institutions and AI developers better customize AI-related projects that seek to improve student engagement and promote the successful integration of cutting-edge technologies in higher education. Keywords: artificial intelligence, student intention, perceived usefulness, perceived ease of use, social influence, habit, public university, private universities Subject Area: L7-991 Education (General
Automated attendance system with anti-spoofing face recognition detection
Get PDFThis project creates an automated attendance system that uses computer vision and biometric authentication to make attendance tracking faster and more secure for schools and universities. The system uses face recognition and liveness detection to make sure students are correctly identified, stop fake attempts like using photos or videos, and make attendance reporting easier. It uses the face_recognition library to get facial features, and dlib to check if the face is real by detecting actions like smiling, blinking, and opening the mouth. Student data and attendance records are stored in Google Sheets, and a Flask web app is used for student registration, subject management, and sending email notifications for absentees. Studies of existing systems, such as fingerprint scanners, RFID systems, and other face recognition tools, show that many of them have weak anti-spoofing measures and are not very user-friendly. This project solves those problems with a two-step liveness check and a simple web interface. The final system uses Python for the backend, real-time webcam processing, and cloud storage, providing a secure, easy-to-use, and scalable solution for attendance management
Family relationships, filial piety, and perceived social support on marriage intention among young adults in Malaysia
Get PDFThe decline in marriage intentions is a global trend, including in Malaysia. Yet, research on Malaysian young adults remains limited. This study investigated the relationships between family relationships, filial piety, perceived social support, and marriage intention among young adults in Malaysia and examined their unique predictive role. A quantitative cross- sectional study was conducted online, with both purposive and convenience sampling methods to recruit Malaysian young adults aged 18 to 26 who are single or in a relationship. The instruments used in this study were the Brief Family Relationship Scale (BFRS), Filial Behaviour Scale (FBS), Multidimensional Perceived Social Support Scale (MSPSS), and Intent to Marry Scale (IMS). A total of 386 participants were recruited (M = 22.41 years; SD = 1.77 years), with 75.3% being female, 85.2% Chinese, and 77% undergraduate students. Pearson correlation indicated a significant positive relationship between filial piety, perceived social support, family relationships, and marriage intention among young adults in Malaysia. Multiple linear regression analysis revealed that perceived social support and filial piety are significant predictors of marriage intention, whereas family relationships are not. Hence, the current findings provide an interesting perspective on marriage intentions and provide empirical evidence for policymakers to develop evidence-based initiatives aimed at increasing marriage intentions among young adults in Malaysia
The influence of dark leadership on academic well-being in private universities
Get PDFThis study aimed to examine the impact of key organizational elements on academic well-being in a Malaysian private university context under the rubric of dark leadership. While academic well-being has been studied in a variety of contexts, little is known about how unhealthy leadership practices impact academic well-being within the Malaysian private higher education system. This study addresses this information gap by exploring the impact of faculty autonomy, communication, trust, and resource allocation practices on academic well-being. It also highlights the importance of cultivating ethical and supportive leadership to mitigate the negative impacts of dark leadership and provides guidance for developing targeted strategies and policies to improve the overall academic environment and safeguard faculty well-being. The study employed a quantitative approach and utilized a survey method for data collection. Questionnaires were distributed to 350 academic staff in private universities, who were selected using a convenience sampling technique. A total of 350 completed and usable questionnaires were returned, meeting the minimum sample size of 341 based on Krejcie and Morgan’s (1970) table. Multiple Linear Regression Analysis was conducted using the Statistical Package for the Social Sciences (SPSS) version 26.0. The results indicate that communication and faculty autonomy significantly influence academic well-being. The research findings indicate that faculty autonomy, communication, trust, and resource allocation practices have a significant impact on academic well-being. These findings help identify the factors influencing the academic well-being of lecturers and professors at private universities and also provide guidance for future research on how to enhance academic well-being. This study identifies four factors influencing academic well-being: faculty autonomy, communication, trust, and resource allocation practices. Therefore, educational authorities, leaders, educational institutions, and other relevant departments should consider these factors when working to enhance academic well-being, thereby contributing to improved overall motivation and happiness levels. Keywords: dark leadership; academic well-being; trust; faculty autonomy; private universities Subject Area: HD28-70 Management. Industrial managemen
The association between rejection sensitivity and relationship commitment: Attachment styles as mediators
Get PDFThis study examined the correlation between rejection sensitivity (RS) and relationship commitment among unmarried individuals who are currently committed in a romantic relationship, with attachment styles tested as mediators. Using a cross-sectional quantitative design, data were collected from 234 participants (79.9% female, 20.1% male, Mage = 23.97, SD = 4.07) who fulfilled the inclusion criteria of being aged 18 years and above, currently in a romantic relationship but not legally married, and Malaysian. Participants were recruited through self-selected, purposive, and snowball sampling and completed online self-report questionnaires comprising the Adult Rejection Sensitivity Questionnaire (ARSQ), the State Adult Attachment Measure (SAAM), and the Multiple Determinants of Relationship Commitment Inventory (MDRCI). Data was analysed using Statistical Package for Social Sciences (SPSS) version 23 and Hayes’ PROCESS macro (Model 4). Results demonstrated a significant negative correlation between RS and relationship commitment. Mediation analyses further indicated that secure and avoidant attachment significantly mediated this association, whereas anxious attachment did not. These findings suggest that RS predicts commitment through attachment-related mechanisms, operating differently across attachment styles. The study enhances understanding of how rejection sensitivity and attachment interact to shape commitment within the Malaysian cultural context, while also underscoring the broader role of cultural and social-contextual factors. Practically, the findings highlight the value of attachment-based counselling interventions to promote healthier relationships and strengthen commitment among unmarried young adults
Exploring the factors, challenges, and social perceptions of cohabitation among young adults in Malaysia
Get PDFCohabitation has become an increasingly popular choice among young adults globally, often seen as a “trial marriage” to assess compatibility before committing to long-term relationships. In Malaysia, while cohabitation is becoming more visible, it remains a sensitive and stigmatized practice due to cultural and religious norms. This qualitative study explores the factors influencing young adults’ decisions to cohabit in Malaysia, identifies challenges faced by cohabiting couples, and examines the extent of social judgment they experience. In depth online interviews with four participants aged 22-28, including university students and working adults, were conducted using open-ended questions with content validity. Thematic analysis identified key themes, including emotional intimacy, financial convenience, and compatibility testing as primary drivers of cohabitation. Challenges such as internal relationship issues and external pressures, particularly from cultural and religious norms, were also highlighted. Participants experienced varying degrees of social judgment, including unspoken disapproval, direct criticism, and direct interference. The practical implications of this research offer guidance for young adults navigating cohabitation, emphasizing communication, household responsibilities, and managing external pressures. The study also calls for broader and more diverse research, including a dyadic approach, to deepen understanding of cohabitation dynamics in Malaysia