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Enhanced Network Infrastructure Visualization: A Graph-Based Approach to Asset Management and Security Monitoring
| Nome: | Descrição: | Tamanho: | Formato: | |
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| 1.65 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
This project addressesthe growing challengesin managing and monitoring complex enterprise
network infrastructures through an innovative graph-based visualization system. Traditional
approaches to network asset management often result in significant visibility gaps, leading to
increased security incidents across organizations. Our solution combines graph database
technology with human-centered design principles to improve network topology visualization
and analysis.
We implement a dual-focused approach: first, leveraging graph database capabilities for
efficient storage and analysis of complex network relationships; second, developing an
intuitive visualization interface that reduces cognitive load in network analysis tasks. Using a
modified Design Science Research methodology, we conducted three iterative development
cycles with different stakeholder groups to refine the solution.
Evaluation results demonstrate significant improvements in network analysis efficiency. Key
metrics show reduced task completion times and actions across critical operations: topology
understanding improved from 1 minute 55 seconds with 8 actions to 44 seconds with 3
actions, cluster identification from 1 minute 33 seconds with 7 actions to 38 seconds with 2
actions, path tracing from 2 minutes 13 seconds with 10 actions to 41 seconds with 4 actions,
and identifying affected infrastructure from 3 minutes 5 seconds with 12 actionsto 35 seconds
with 3 actions. The visualization system successfully addresses fundamental challenges in
network management while maintaining performance with increasing network complexity.
This research contributes to both theoretical and practical aspects of network infrastructure
management, offering insights into graph-based visualization approaches and their impact on
operational efficiency in enterprise networks. Future work opportunities include integration
of advanced graph algorithms, enhanced user interface capabilities, and expanded real-time
processing for larger network infrastructures.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
Palavras-chave
Network Infrastructure Graph Visualization Asset Management Security Monitoring Human-Computer Interaction SDG 9 - Industry, innovation and infrastructure