MUMSPI: A Model for Usability Measurement of Single-Platform Interface for Multi-Tasking in Big Data Tools
By Mony Ho, Sokroeurn Ang, Sopheaktra Huy, Midhunchakkaravarthy Janarthanan
PDFAbstract
This study presents MUMSPI, a model to evaluate the usability of a single-platform interface that supports multi-tasking, compared to command line interface (CLI) in Big Data workflows. Eighty IT participants performed the same tasks using Hadoop, Sqoop, and Python through two interfaces: the Linux Terminal and Jupyter Notebook. Usability was measured across five dimensions such as effectiveness, efficiency, learnability, robustness, and satisfaction. Results show that Jupyter outperformed the Terminal in all areas, with higher task completion (85.18%), faster execution (38.33 minutes), fewer errors (35.12%), and better user satisfaction (SUS score: 70.31%). Overall MUMSPI scores were 74.03% for Jupyter and 45.95% for the Terminal. These results confirm MUMSPI’s value and support the use of integrated graphical environments for better usability, especially for users with limited technical skills.
A Low-Complexity Li-Fi Communication Framework for Short-Range Text Transmission
By Kamil Audah Kareem, Mahmood A. Al-Shareeda
PDFAbstract
Visible Light Communication (VLC) using LED Light Fidelity (Li-Fi) has been proposed as a good substitute for the RF communication, and it uses visible-range electromagnetic spectrum to transmit data. A low complexity text transmission system for short-range LIFI communication is proposed in this paper using low- cost hardware. The proposed one consists of an Arduino-based source and a detector as transmitter and receiver, respectively, where linguistic symbols are used to be encoded in terms of light pulse intensity modulations from the light- emitting diode (LED) and here demodulated in the end back to their respective forms using a Light-dependent Resistor (LDR). The simplistic pulse-duration modulation is used to make symbol detections robust at a minimal amount of computation cost. Details of the entire system, which consists of system architecture, hardware design, and data processing flow, are presented. Experimental results show that it is possible for the accurate transmission of text under indoor lighting at close distances. Due to its low complexity, cost, and immunity to electromagnetic disturbances, the proposed macro-diversity is applicable not only for educational platforms but also for indoor communications where RF communication is limited. The proposed design serves as a workable basis for the future improvements to be made toward higher data rates and more immune V-LC systems.
Securing API Ecosystems in Banking: A Critical Review of Cyber Risks, Control Frameworks, and Future Trends
By Sopheaktra Huy, Sokroeurn Ang, Mony Ho, Vivekanandam Balasubramaniam
PDFAbstract
The rapid evolution of open banking and digital financial services has fueled the widespread adoption of Application Programming Interfaces (APIs) across the banking sector. While APIs enable real-time payments, embedded finance, and seamless integration with third-party platforms, they simultaneously introduce critical cybersecurity risks including misconfigurations, excessive data exposure, broken authentication, and weak access controls. This review critically investigates the cyber threat landscape of financial APIs by synthesizing academic literature, industry frameworks, and real-world breach reports. It evaluates the practical effectiveness of controls such as the OWASP API Security Top 10, Financial-grade API (FAPI) standards, and Zero Trust Architecture, and explores the emerging role of AI-driven security models including machine learning, deep learning, and Bayesian attack graph modeling. The key findings reveal persistent implementation gaps despite available standards, with real-world breaches like Twilio and Dell highlighting the high-risk exposure of unsecured APIs. The review also uncovers fragmented regulatory maturity between jurisdictions: while the EU leads with structured mandates like PSD2, the US and UK adopt more market-driven, inconsistent approaches posing challenges for global financial compliance. Furthermore, the study identifies underexplored threat vectors such as insider misuse, unmanaged shadow APIs, and third-party abuse areas rarely addressed in existing frameworks. Most importantly, it emphasizes a critical lack of integration between technical controls, regulatory policies, and lifecycle security implementation in real-world banking environments. This paper concludes with forward-looking recommendations to enhance API resilience through layered defenses, global regulatory alignment, AI-enhanced threat detection, and embedding security within software development pipelines.