MSc in Information Technology

Permanent URI for this collectionhttps://rda.sliit.lk/handle/123456789/2484

Students enrolled in the MSc in Information Technology programme are required to submit a thesis as a compulsory component of their degree requirements. This collection features merit-based theses submitted by postgraduate students specialising in Information Technology. Abstracts are available for public viewing, while the full texts can be accessed on-site within the library.
CC BY-NC-ND 4.0 License
Theses and Dissertations of the Sri Lanka Institute of Information Technology (SLIIT) are licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License .

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    PublicationOpen Access
    ColorGuard: Ensuring Mobile App Design Compliance with Google Material Design Color and Theme Guidelines
    (SLIIT, 2024-12) Balasooriya, S. A.
    Developing mobile applications today demands significant time and effort. Creating user-friendly user interfaces (UIs) is particularly challenging, with special attention needed for color-related details as they are the first thing customers notice. Numerous guidelines have been introduced to assist mobile UI designers in fostering good interaction between users and UIs. Among these, Google's Material Design guidelines are highly trusted, being developed and maintained by Google. Adhering to these guidelines enables developers and designers to create more efficient and effective UIs, which is crucial for commercial mobile applications. However, reading, understanding, and implementing all these guidelines can be overwhelming for novice UI designers. Additionally, having improvement tips and suggestions is highly beneficial. To address this challenge, this research proposes a web-based solution that reviews developed mobile UIs and provides textual suggestions to improve the UI design according to the guidelines. Since the solution is implemented as a web application, offering an effective way to provide this service across any device and operating system.
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    PublicationOpen Access
    A Machine Learning Approach for Context-Aware Input/Output Validation in Mobile Applications
    (SLIIT, 2024-12) De Dilva, H.K.B
    There is still insecurity in mobile application since, input/output validation is not well implemented since the rule-based methods cannot adapt the new attacking forms and the new environments. Thus, this work puts forward a novel approach for context-aware input/output validation in mobile applications to overcome these challenges with the use of machine learning. The work is targeted towards investigating a sequence of previous data, application context, and user input for identifying abnormal patterns in real-time using a machine learning model. In line with the formulated model, an adaptive validation system will be employed so that the validation criteria are fluid with the detected context and possible threats. To measure the impact and satisfaction level of the proposed system, this study will use both penetration test and users. Penetration testing will establish the effectiveness of the model in discovering and even preventing security threats while user research will determine the ease of use of the application with the implemented security method. The hope is that this research will be of significant value in formulating mobile applications that are more secure while at the same time providing users with a positive experience. In conclusion, this machine learning integrated method of validation seeks to enhance application security as well as satisfaction levels of the users.