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    A visualized network traffic monitoring tool.

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    A VISUALIZED NETWORK TRAFFIC MONITORING TOOL. (2.180Mb)
    Date
    2022
    Author
    Jollet Bogere, Nanyonyi
    Clarissa, Bwire
    Faith, Namuddu
    Liz Takan, Asimo
    Matthew, Kizito
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    Abstract
    In this study, Network Traffic Monitoring is enacted for information technicians in Uganda to easily enable them to Monitor traffic in their organization networks with a well simplified outlook of the network. This is because for any organization to effectively and efficiently run and organization, Network Traffic Monitoring should be implemented. The main challenge is interpretability of network traffic statistics in the easiest way possible in which we picked interest in solving and as a result the development of or traffic monitoring tool, Sneaky. The Study largely used Qualitative research methods of Literature review. Our main objective is to develop a network monitoring tool that provides statistics, from analyzed network traffic, that are easy to interpret by both professionals and the layman computer users. One of the objectives was to implement a system that was developed using technologies such as Bootstrap, CSS, HTML, JavaScript and MySQL among others. In objective four, the system was tested and validated. The system will be of great significance to Information Technology Specialists with Organisations/ Firms. The System Development Life Cycle (SDLC) was used at the methodology phase and it involved the iterative stages of; requirement identification and collection, planning, architecture design, developing, testing, deployment and maintenance. In the system analysis and design stage we explained the different requirements that is; software, hardware, functional and non-functional requirements that were crucial to the project success. In implementation, we were able to achieve the main goal of our system that was to develop a visualized system of network Monitoring in the easiest way possible.
    URI
    http://hdl.handle.net/20.500.12281/14939
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    • School of Computing and Informatics Technology Collection

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