Publicação
Enhanced Network Infrastructure Visualization: A Graph-Based Approach to Asset Management and Security Monitoring
| datacite.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | pt_PT |
| dc.contributor.advisor | Pinheiro, Flávio Luís Portas | |
| dc.contributor.author | Sousa, Luca Rodrigues de | |
| dc.date.accessioned | 2025-02-24T14:43:24Z | |
| dc.date.available | 2025-02-24T14:43:24Z | |
| dc.date.issued | 2025-02-12 | |
| dc.description | Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science | pt_PT |
| dc.description.abstract | 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. | pt_PT |
| dc.identifier.tid | 203921607 | |
| dc.identifier.uri | http://hdl.handle.net/10362/179665 | |
| dc.language.iso | eng | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Network Infrastructure | pt_PT |
| dc.subject | Graph Visualization | pt_PT |
| dc.subject | Asset Management | pt_PT |
| dc.subject | Security Monitoring | pt_PT |
| dc.subject | Human-Computer Interaction | pt_PT |
| dc.subject | SDG 9 - Industry, innovation and infrastructure | pt_PT |
| dc.title | Enhanced Network Infrastructure Visualization: A Graph-Based Approach to Asset Management and Security Monitoring | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | Mestrado em Ciência de Dados e Métodos Analíticos Avançados, especialização em Ciência de Dados | pt_PT |