Secure Text Steganography Using ASCII-to-RGB Mapping and Random Embedding Positions
BAHARUDIN BIN OSMAN
Universiti Utara Malaysia
Paper Details
Secure Text Steganography Using ASCII-to-RGB Mapping and Random Embedding Positions
Presenter
BAHARUDIN BIN OSMAN
Institution
Universiti Utara Malaysia
ABSTRACT
Text steganography remains one of the most challenging branches of information hiding due to the limited redundancy and structure available in textual data. Unlike image or audio steganography, where high data capacity allows more flexible embedding, text requires methods that maintain readability while ensuring strong concealment. This study proposes a novel and lightweight text steganography approach that embeds secret messages using RGB triplets derived from ASCII codes and inserts them at randomized positions within the cover text. The technique enhances security by eliminating sequential embedding patterns while preserving the natural appearance of the text. The method begins by converting each character of the secret message into a three-digit ASCII code. A structured digit-mapping rule is then applied to generate the RGB representation, ensuring a reversible transformation for decoding. These RGB triplets are embedded at random, non-sequential positions within the cover text, with the locations selected uniquely for each character. A key file is generated to store the embedding position, RGB triplet, and sequence index of each character, enabling accurate reconstruction of the message during the decoding process. Without this key, the random distribution of embedded values makes unauthorized extraction significantly more difficult. A proof-of-concept implementation demonstrates the feasibility and effectiveness of this approach. The encoding and decoding procedures operate using simple text-processing operations, making the technique computationally efficient and adaptable to any language or text domain. The results show that the hidden message remains undetectable to casual readers while providing a secure channel for covert communication. This approach is particularly useful in situations where digital communication channels are heavily scrutinized and text-based methods offer a more discreet alternative for secure information exchange. Overall, the proposed randomized RGB-based embedding method advances text steganography by improving unpredictability, preserving text integrity, and offering a practical solution for secure, covert messaging. Future work may explore automated key generation, invisible character embedding, and integration with natural language processing techniques to further refine concealment strategies.
Keywords: Text steganography, ASCII mapping, RGB encoding, Randomized embedding, Information hiding
Secure Text Steganography Using ASCII-to-RGB Mapping and Random Embedding Positions
Health Informatics and Technology
VIDEO
Watch My Calorie: An Intelligent Mobile App for Personalized Nutritional Insights
Sharhida Zawani Saad
School of Computing, UUM
Paper Details
Watch My Calorie: An Intelligent Mobile App for Personalized Nutritional Insights
Presenter
Sharhida Zawani Saad
Institution
School of Computing, UUM
ABSTRACT
Watch My Calorie is a mobile application designed to help users monitor daily calorie intake and support a healthier lifestyle. It offers personalized features such as meal tracking, BMI calculation, nutritional insights and tailored health recommendations. Although many calorie tracking apps exist, they often lack strong personalization and user-friendly interaction. This highlights the need for a more intuitive and visually engaging solution. The app was developed using Flutter and Firebase through an iterative process informed by user surveys and usability testing. Results showed high user satisfaction, especially among university students and young adults, due to its simplicity and essential features. Specifically, the app achieved a User Acceptance Testing (UAT) score corresponding to a 96.83% for usability experience rating and 97% of participants able to navigate the app without difficulty and found key features such as meal logging, BMI calculation and calorie graph visualization that are highly beneficial for managing dietary intake and making informed food choices. Furthermore, 96.67% of users demonstrating strong trust and satisfaction, stated that the app to be a dependable and useful resource for tracking calories. By providing visual data analytics and recommendations based on activity level and health conditions, Watch My Calorie contributes to the expanding field of digital health interventions and encourages long-term health awareness and positive behavior change.
Watch My Calorie: An Intelligent Mobile App for Personalized Nutritional Insights
Technology in Education
No video presentations in this sector.
Digital Opportunities and Governance
VIDEO
A Digital Logbook Model for Student Activities Management During Industrial Training
Wan Hussain Bin Wan Ishak
UUM
Paper Details
A Digital Logbook Model for Student Activities Management During Industrial Training
Presenter
Wan Hussain Bin Wan Ishak
Institution
UUM
ABSTRACT
Industrial training is an essential component of higher education programmes, enabling students to apply theoretical knowledge in actual work environments while developing practical and professional skills. A core requirement during training is the daily logbook, which serves as a record of student activities and a key channel for supervisors to monitor progress. However, paper-based logbooks often result in inconsistent reporting, missing entries, delayed feedback, and challenges in validating student activities. These limitations reduce the effectiveness of supervision and hinder accurate assessment of learning outcomes. To overcome these challenges, this study proposes A Digital Logbook Model for Student Activities Management During Industrial Training. The objective is to develop a structured digital reporting model that improves the accuracy, consistency, and timeliness of daily reporting. The study adopts the Waterfall methodology, progressing through the stages of requirements analysis, system design, development of the model, implementation planning, and final evaluation. Requirements were gathered from students, academic supervisors, and industry partners to ensure that the model addresses actual user needs. The resulting model consists of five main components: a student daily reporting module, supervisor verification interfaces, a centralized reporting engine, a validation and notification mechanism, and an interactive monitoring dashboard. Findings show that the digital logbook model significantly enhances daily reporting discipline, improves data reliability, and enables more effective supervision by providing timely insights into student activities. This study contributes a practical and scalable solution for improving industrial training management. Future enhancements may include mobile application support, predictive analytics for performance monitoring, and integration with institutional learning-management platforms to create a more comprehensive and fully digital ecosystem.
A Digital Logbook Model for Student Activities Management During Industrial Training
VIDEO
Adopting Euclidean Distance as a Transparent Matching Algorithm for Digital Mental Health Applications: A Case Study of My H-Care
Rohaya Dahari
UUM
Paper Details
Adopting Euclidean Distance as a Transparent Matching Algorithm for Digital Mental Health Applications: A Case Study of My H-Care
Presenter
Rohaya Dahari
Institution
UUM
ABSTRACT
The rising mental health challenges in Malaysia, particularly in the aftermath of the COVID-19 pandemic, call for innovative and accessible solutions that can reach people wherever they are. Despite the success of global digital counselling platforms such as BetterHelp and Talkspace, many of these systems rely on complex, opaque algorithms and are often costly or poorly adapted to local cultural and linguistic contexts. This study introduces My H-Care, a Malaysian-developed mobile application that adopts the Euclidean Distance algorithm as a simple, transparent, and efficient approach for matching clients with suitable counsellors. The aim is to show how a mathematically grounded yet easily interpretable algorithm can support a more inclusive and personalized digital counselling experience.
Guided by user-centred design (UCD) principles and a design-based research (DBR) framework, the study progressed through four iterative phases: requirement analysis, system and algorithm design, pilot testing, and real-world validation. The Euclidean Distance method was applied to quantify similarity between client preferences such as gender, age, and problem type, and counsellor attributes within a multidimensional vector space. This approach enables fair, explainable, and data-light decision-making, making it highly suitable for emerging digital health ecosystems.
The system was evaluated with 50 clients and 15 counsellors across two testing phases. Results showed strong acceptance of the matching process, with 91% of clients choosing the top-ranked counsellor suggested by the algorithm. Average satisfaction reached 85% among clients and 88% among counsellors, supported by significant correlations between perceived ease of use, matching accuracy, and users’ emotional well-being (p < 0.01). The matching process was also efficient, producing recommendations in under three seconds.
The findings demonstrate that a well-designed, transparent algorithm like Euclidean Distance can perform effectively without the need for large datasets or complex machine learning models. Beyond technical success, My H-Care highlights how culturally sensitive, user-informed design can help reduce stigma and improve access to mental health support in local communities. This study contributes to ongoing discussions on explainable AI, ethical design, and digital mental health adoption in low-resource settings. Future research will extend this work by integrating adaptive learning mechanisms to further personalize and evaluate the platform’s long-term clinical impact.
Adopting Euclidean Distance as a Transparent Matching Algorithm for Digital Mental Health Applications: A Case Study of My H-Care
VIDEO
Digital Custodians: Safeguarding File Integrity in Conference Management Systems
Dr Amran Ahmad
Universiti Utara Malaysia
Paper Details
Digital Custodians: Safeguarding File Integrity in Conference Management Systems
Presenter
Dr Amran Ahmad
Institution
Universiti Utara Malaysia
ABSTRACT
File audit systems represent critical administrative components in modern conference management platforms, providing automated mechanisms for ensuring data integrity and system maintenance through comprehensive file system monitoring and management. These systems perform systematic audits by comparing database file references against actual filesystem contents across multiple file categories including research papers, video presentations, extended abstracts, payment receipts, and system logs. Through sophisticated scanning algorithms, they identify three primary file states: valid files (properly referenced and physically present), orphaned files (existing on disk but unreferenced in the database), and missing files (referenced in database but absent from storage). The audit systems provide detailed reporting with statistical summaries for each file category, enabling administrators to quickly assess system health while attempting to identify file ownership through pattern matching and database cross-referencing. Supporting both individual and bulk file deletion operations with comprehensive confirmation dialogs, these systems incorporate multiple safety measures including confirmation prompts, detailed logging of deletion operations, and read-only audit scanning to prevent accidental data modification. Built using robust web technologies with database connectivity, file audit systems leverage recursive directory iteration and pattern matching techniques to efficiently scan large file repositories while handling various file naming conventions and storage structures commonly found in academic conference systems. Essential for maintaining system performance, ensuring compliance with data retention policies, and preventing storage waste from accumulated orphaned files, regular audits help identify potential data integrity issues early, support disaster recovery planning, and provide insights into system usage patterns. Ultimately, file audit systems serve as cornerstone administrative tools, providing the necessary oversight to maintain robust, efficient, and reliable conference management platforms capable of handling the complex file management requirements of academic conferences.
Keywords:
file audit system, data integrity, orphaned files, conference management, system administration
Digital Custodians: Safeguarding File Integrity in Conference Management Systems
Others
VIDEO
AI used for lecturer assignment and university management
mustika wardah binti mohd. zawawi
UNIVERSITI UTARA MALAYSIA
Paper Details
AI used for lecturer assignment and university management
Presenter
mustika wardah binti mohd. zawawi
Institution
UNIVERSITI UTARA MALAYSIA
ABSTRACT
This study looks at how artificial intelligence (AI) is being used to support lecturer assignment and university management by analysing 662 research papers from Scopus. Using bibliometric methods, we explored how the field has grown over time, which authors, institutions, and countries are most active, and what topics researchers focus on. The results show that interest in this area has increased steadily, especially in recent years. Most papers are written by teams of two to four authors, with China, India, and the United States contributing the most publications. Popular topics include machine learning, AI-based decision systems, and smart technologies for improving teaching and administrative processes. The most influential papers tend to focus on prediction models and intelligent learning tools. This study is limited to Scopus data and does not include journal-quality indicators, but it still offers a clear and accessible overview of how AI research in higher education is developing. The findings highlight where the field is heading and how AI can continue to support universities in making better, data-driven decisions.
AI used for lecturer assignment and university management
VIDEO
Mosque Activity And Program Management System
Osman Ghazali
Universiti Utara Malaysia
Paper Details
Mosque Activity And Program Management System
Presenter
Osman Ghazali
Institution
Universiti Utara Malaysia
ABSTRACT
This paper reports on the development of a mobile-based Mosque Management System (MMS) created to help a local Malaysian mosque manage prayer schedules, community events, and donation activities more efficiently. Rather than presenting a fixed design from the start, the system was shaped gradually through an iterative, agile process in which user feedback played a central role. The application uses Firebase to handle real-time data updates, and the Waktu Solat API provides location-based prayer times to ensure accuracy for users. A field test involving 38 participants of different age groups offered useful insights. Most users found that the MMS made it easier for them to follow mosque announcements and stay aware of daily prayer times, and administrators noted that the system met their basic management needs. Although the project is still developing, the results suggest that MMS can support digital engagement within religious communities in a practical way. It also appears to be adaptable for use in other mosques that are looking for more transparent, inclusive, and sustainable management practices.
Mosque Activity And Program Management System
VIDEO
A Secure Prototype Design for Pre-loved Online Store Using a Cloud-based SaaS
CHENG YANG HO
University Utara Malaysia
Paper Details
A Secure Prototype Design for Pre-loved Online Store Using a Cloud-based SaaS
Presenter
CHENG YANG HO
Institution
University Utara Malaysia
ABSTRACT
The growing global demand for sustainable consumption has catalyzed the expansion of the second-hand market. However, existing platforms like OLIO, ThredUp, and Freecycle exhibit significant limitations, including narrow category focus, low user autonomy, and a lack of integrated trust and security features. This paper presents the design and development of a secure prototype for a pre-loved online store using a cloud-based Software-as-a-Service (SaaS) model tailored for the Malaysian market. The project employs an Agile methodology to iteratively develop a solution that empowers users to buy and sell items securely. The prototype incorporates key security features including a comprehensive listing system, an escrow payment mechanism to mitigate fraud, secure user authentication through Supabase, and Stripe integration for payment processing. Additional intelligent features such as AI-powered visual search and product recommendations enhance user experience. The primary outcome is a high-fidelity functional prototype that demonstrates enhanced transaction security and user engagement. The project's contribution lies in addressing identified gaps in the circular economy landscape by providing a localized, secure, and scalable platform architecture that promotes sustainable consumption, supports local communities, and reduces environmental waste through secure digital transactions.
A Secure Prototype Design for Pre-loved Online Store Using a Cloud-based SaaS
VIDEO
Web-based Management System for Catering Provider
TIMOTHY LAI JUN HONG
UNIVERSITY UTARA MALAYSIA
Paper Details
Web-based Management System for Catering Provider
Presenter
TIMOTHY LAI JUN HONG
Institution
UNIVERSITY UTARA MALAYSIA
ABSTRACT
The food and beverage industry is the most important
cornerstone of the hotel industry. Currently, some food and
beverage operators still rely on manual processes, including phone
reservations, paper records, and offline payments. These
traditional methods significantly reduce efficiency and are prone
to human error, leading to data mismatches, layout conflicts, and
an inability to effectively scale up operations. While various
computerized solutions have been introduced, they frequently
suffer from critical limitations. Previous studies have identified
that many existing systems function as standalone desktop
applications with restricted geographic accessibility, or as web
systems that fail to integrate essential features such as secure
payment gateways or real-time supply chain management. To
address these operational gaps, this project proposes the
development of a Web-based Management System for Catering
Provider. The Study is employed by using agile methodology,
utilizing iterative sprints to allow for continuous feedback and
refinement through the development lifecycle. The system is using
the Laravel PHP framework for the backend and MySQL for
database management to ensuring a robust and secure foundation
of system, while the frontend using Vue.js to deliver a responsive
user experience across devices. The project results in a dualinterface platform. The Customer Portal empowers clients to
browse categorized menus, customize orders, and uniquely,
submit formal quotation requests, a feature that is frequently
missing in standard e-commerce systems. It also facilitates secure
transactions via an integrated online payment gateway.
Simultaneously, the Administrative Backend centralizes business
operations, providing tools for menu CRUD operations, a visual
event calendar to prevent booking conflicts, and a delivery
tracking module to manage logistics. Ultimately, this system
contributes to the field by automating core business processes,
minimizing manual administrative workload, and significantly
enhancing customer accessibility through a modern, data-driven
digital solution.
