DEPARTMENT OF COMPUTER SCIENCE

In the digital era, the role of non-technical users in ensuring cybersecurity has become increasingly critical. This research project delves into the multifaceted domain of enhancing cybersecurity awareness among individuals without technical backgrounds. The primary objective is to conduct a comprehensive study that evaluates the current state of cybersecurity awareness among non-technical users and proposes effective strategies for improvement. The study will adopt a mixed-methods approach, combining surveys, interviews, and behavioral observations to assess the existing level of cybersecurity awareness among the target demographic. Special attention will be given to understanding common misconceptions, areas of vulnerability, and the impact of individual behaviors on overall cybersecurity posture. Furthermore, the research will explore the efficacy of various educational interventions, including workshops, training modules, and awareness campaigns, in enhancing cybersecurity knowledge and practices among non-technical users. The project aims to identify the most effective methods for imparting cybersecurity concepts in an accessible and engaging manner. The anticipated outcome of this research is a set of evidence-based recommendations for organizations and educational institutions to design and implement tailored cybersecurity awareness programs. By bridging the gap between technical intricacies and everyday user experiences, this study seeks to contribute to a safer digital environment for all individuals, regardless of their technical expertise

The growing complexity of student support services in higher education has created a need for intelligent systems that can provide academic, administrative, and emotional assistance efficiently. This project, titled Designing and Implementing an Autobot Mentor for Student Support, presents the development of an AI-driven chatbot that simulates human-like mentorship interactions using Natural Language Processing (NLP) and Machine Learning (ML) techniques. The system was designed following a three-tier architecture consisting of the presentation, application, and database layers, ensuring modularity, scalability, and ease of maintenance.The Autobot Mentor enables students to access 24/7 guidance through conversational engagement, offering responses to academic inquiries, administrative information, and motivational support. Python and Flask were used for implementation, while MySQL served as the database for storing interaction logs and user data. System evaluation focused on usability, accuracy, and responsiveness, and the results demonstrated that the chatbot achieved
high efficiency and user satisfaction, thereby validating its effectiveness insupplementing traditional mentorship.Overall, this study successfully achieved its objectives by developing a functional AI mentorship system that enhances communication between students and institutions. The Autobot Mentor stands as a scalable model for intelligent academic support systems in digitally transforming educational environments.

Inventory management is one of the activities the stock manager undertakes to ensure optimal services of goods to effectively achieve its function. This obligation could only be made possible by automating the current manual and paper based inventory system. A web based inventory management system was proposed. A literature review was conducted on three technologies used in the inventory management that is Radio Frequency Identification (RFID), Barcode Technology and Near Field Communication (NFC). A review was also undertaken on the related works to identify the concept that could be adopted in the proposed system. A baseline study was performed to understand the challenges faced in the inventory management of goods. The results of the baseline study were analyzed and found that the challenges were attributed to the current manual inventory management system mainly due to human errors, incorrect inventory reporting and pilferage of items. The proposed prototype system was developed and tested and proved to be faster, efficient and more reliable than the manual and paper based system.

his project delves into the realm of network security through the development and evaluation of an Intrusion Detection System (IDS) that harnesses the power of feature selection and ensemble models. In today's digitally interconnected world, the protection of networks against malicious activities and cyber threats is of paramount importance. IDSs serve as the first line of defence in identifying and mitigating these threats, making their enhancement a critical area of research.
This study demonstrates the efficacy of combining feature selection methods with ensemble models to fortify IDS capabilities. By conducting an extensive review of existing IDS methodologies, collecting network data, and employing ensemble techniques, this research showcases that this approach surpasses traditional feature selection methods not only in accuracy but also in computational efficiency.
The use of ensemble models has rendered the IDS more resilient, adaptable to diverse attack patterns, and robust against the inherent noise in network data. These findings contribute significantly to the field of cybersecurity, shedding light on the potential of uniting feature selection and ensemble models to optimise IDS performance. The practical implications of this research extend to organisations and institutions seeking to bolster their network security posture. Elevating IDS accuracy and efficiency is a pivotal step towards safeguarding networks against the continually evolving landscape of cyber threats.

This project focuses on building a web-based ticketing system that uses QR codes and real-time attendance tracking to make event management faster, safer, and more efficient. The goal is to replace the old, paper-based ticketing method with a digital solution that allows users to buy, manage, and verify tickets online. When a user purchases a ticket, the system automatically generates a unique QR code that contains their event and ticket details. At the event venue, organizers can scan this code using any device with a camera to confirm the ticket’s authenticity. Once scanned, the ticket’s status changes immediately, preventing anyone from reusing it. The platform includes three main roles: Admin, Organizer, and User. Admins handle event approvals, monitor activities, and manage users. Organizers can create and manage their own events, while regular users can browse upcoming events, buy tickets, and even apply to become organizers if they want to host events. The system is built as a responsive web application, meaning it works well on both computers and mobile devices. It also updates attendance data in real-time, giving organizers an accurate view of how many people have checked in. Overall, this project provides a modern, secure, and eco-friendly way to handle event ticketing — proving how web technology and QR codes can simplify event registration and attendance management in today’s digital world.

Several network systems are built to communicate with one another as well as made available through service-oriented architectures. In this project, the client server architecture is used to develop a chat application. Firstly, a chat application is created for both Client and Server which is based on Transmission Control Protocol (TCP) where TCP is connection oriented protocol and is a reliable connection protocol. As security is the key factor while communicating over a network, so in this project, MySQL SSL protocol and hash function was used for the Database based on a numbers of benefits. The hash values of the real password and the random generated number (salt) is stored in the database. The original password is not stored on the system, making cracking of password much harder

Data travels over networks as invisible packets in today's digital world, and comprehending this process is essential, particularly when addressing problems like latency, congestion, orsecurity risks. This study investigates how we can track and analyse this data in real time using Wireshark, a potent network protocol analyser. We illustrate how deep packet inspection aids in detecting anomalies and resolving performance issues by recording and analysing protocols such as TCP and HTTP. This analysis demonstrates the importance of packet capture as a tool for efficient network administration and cybersecurity.

In an increasingly digital world, User Interlace (UI) and User Experience (UX) design have become pivotal in shaping the interactions between users and technology. This comprehensive study delves into the multifaceted realm of UI and UX design, aiming to unravel the intricacies and importance of crafting intuitive and user-centric interfaces. Through a meticulous exploration of principles, methodologies, case studies, and emerging trends, this study seeks to provide valuable insights for designers, researchers, and stakeholders in the field. By examining the symbiotic relationship between UI and UX, we aspire to illuminate the path towards creating memorable and meaningful digital experiences

This mixed-methods research investigates the impact of User Interface (UI) and User Experience (UX) design on the mental health and emotional wellbeing of university students. Driven by the observation that platform engagement models often prioritize retention over psychological safety, the study combined a theoretical analysis of Cognitive Load and Emotional Design theories with an empirical survey of 120 students from the University of Benin ($N=120$). Quantitative analysis revealed that the primary psychological burden on students is cognitive and social overload (Content Overwhelm $\mu=4.06$; Overwhelmed by Features $\mu=4.10$; Pressure to be Perfect $\mu=3.94$), rather than simple notification distraction ($\mu=2.89$). Despite students confirming support features are easy to find ($\mu=4.24$), their high stress levels indicated a significant mismatch between generic solutions and their specific needs. Qualitative thematic analysis reinforced these findings, identifying an explicit user demand for features that offer control over content feeds, limiting of compulsive scrolling, and pausing of "rowdy" group chats. The study concludes that current UI/UX practices impose an unnecessary emotional strain on students. Based on this validated evidence, the research proposes the "Emotionally-Aware Focus Interface" (Student Mode) framework, which features Mindful Content Curation and a Calm UI Override. These recommendations aim to facilitate a necessary transition from engagement-maximizing design to a practice prioritizing user focus, cognitive clarity, and emotional balance.

While traditional libraries face limitations in accessibility and scale, web-based elibraries have emerged as indispensable platforms for delivering vast digital content. They come with benefits such as the prevalent one of offering 24/7 access to digital resources from any device with internet accessibility. This project proposes the design of a web-based elibrary system using HTML, CSS and Javascript programming, specifically engineered to address the real-world problems of fragmented user experiences; which require the use of multiple tools for interacting with different file types, limited search functionalities within digital documents, especially Portable Document Format (PDF) files, inconsistent search capabilities, and over-reliance on external viewing applications. The core innovation lies in the integration of a robust, searchable PDF viewer directly within the platform, enabling users to perform full-text searches not only across document metadata but also within the content of uploaded PDF files. The system will feature a centralized, intuitive interface for managing and accessing a wide range of digital materials, including books, journals, and research papers, regardless of their original format. Furthermore, the proposed e-library will prioritize user accessibility through features such as responsive design and clear navigation. By providing an integrated, highly searchable, and user-friendly platform, the success of this project aims to significantly improve the efficiency and effectiveness of digital information access, thereby fostering a more productive learning and research environment.