A.O. EGWALI

COMPARATIVE STUDY OF NESSUS AND BURP SUITE IN WEB APPLICATION AND NETWORK VULNERABILITY ASSESSMENT

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Abstract
Web applications and network security are critical in today’s digital landscape, requiring robust vulnerability assessment tools to detect and mitigate potential threats. This study presents a comparative analysis of Nessus and Burp Suite, two widely used security assessment tools, to evaluate their effectiveness in identifying vulnerabilities in web applications and networks. Nessus, a powerful network vulnerability scanner, is primarily used for identifying misconfigurations, missing patches, and security loopholes in networked systems. In contrast, Burp Suite is a web security testing tool focused on identifying vulnerabilities such as SQL injection, cross-site scripting (XSS), and authentication flaws in web applications. This paper compares the tools based on key parameters such as scanning capabilities, ease of use, reporting features, accuracy, and suitability for different security assessments. The findings provide insights into the strengths and limitations of each tool, helping security professionals choose the appropriate tool based on their specific security assessment needs
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co-supervisor

DESIGN AND IMPLEMENTATIONOF AN ANDROID-BASEDMOBILE APPLICATION FOR COURSELEARNINGMATERIALS FOR THE DEPARTMENTOF COMPUTER SCIENCE,UNIVERSITY OFBENIN.

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In recent years, due to the rapidly increasing number of features available for smart mobile devices, mobile applications are playing an important role in higher education systems. A rapid growth in the volume of available learning materials has made quick access to relevant course materials tasking for students. Therefore, it has become inherently necessary to create a system
that would adequately address the myriad of issues associated with the ease of access to educational materials as well as the availability of said materials quickly and efficiently. This aim of this project is the design and development of a course material management application on the Android Platform, using Flutter (a cross platform software framework running on Dart
Programming Language), to give each student access to relevant and beneficial course materials, as well as all prerequisite resources quickly and efficiently; thereby eradicating stress, limiting cost, and generally enhancing the academic process.
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co-supervisor

GEOSPATIAL ANALYSIS OF HEALTHCARE ACCESS: IDENTIFYING DISPARITIES BY RACE, ETHNICITY, AND AGE

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Access to healthcare is a fundamental human right, yet significant disparities persist in many regions, particularly in Nigeria and across Africa. These disparities are often influenced by race, ethnicity, and age, with underserved populations facing considerable barriers to receiving quality healthcare. This project focuses on geospatial analysis as a tool to assess and address healthcare access inequities. By leveraging geospatial technologies, this study seeks to map healthcare facilities, analyze spatial patterns of accessibility, and evaluate disparities in healthcare availability across diverse demographic groups. Using Geographic Information Systems (GIS) and publicly available data on healthcare infrastructure, population demographics, and socioeconomic indicators, the project identifies regions with inadequate healthcare coverage. Key variables, including proximity to healthcare facilities, density of healthcare providers, and transportation infrastructure, are analyzed in relation to demographic data such as race, ethnicity, and age distribution. Special attention is given to rural and peri-urban areas where healthcare infrastructure is typically sparse. This study also integrates statistical models to quantify disparities, providing actionable insights into how race and ethnicity intersect with geographic location to impact access to essential health services. In regions like Nigeria, where the healthcare system faces significant challenges, the project explores how these disparities disproportionately affect vulnerable populations such as ethnic minorities, elderly citizens, and children. The findings are expected to highlight areas of acute need, where targeted policy interventions could have the greatest impact. Moreover, the geospatial approach offers a data-driven framework for decision-makers, empowering them to allocate resources more effectively and design strategies to bridge healthcare gaps.
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co-supervisor