Abstract
Computer networks are becoming increasingly vital to the activities of organizations, and their monitoring is necessary to ensure proper functioning. The use of the human cognitive process in decision-making through information visualization (IV) is a viable option for large amounts of data, such as those generated in network monitoring. Considering the need to monitor modern computer networks and the quality gain when using visualization techniques, the objective was to conduct a review study to understand the process of building a monitoring tool using information visualization resources and, from this review, follow with a case study through a tool for visualization application in a university wireless network management. To this end, a systematic literature review was performed, and then a survey of requirements was conducted with the university network managers. With the analysis of the data from the review and the survey, a tool was specified and developed, evaluated in several units of the university. In this way, the results from the review and the requirements survey are observed in time, which allowed the development of a solution using the observed trends, validating them in the use and evaluation of the tool. The main contribution of the work is the resulting tool and its impact on the management of the university wireless network, facilitating the activities of managers.
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References
Dasgupta, A., Arendt, D.L., Franklin, L.R., Wong, P.C., Cook, K.A.: Human factors in streaming data analysis: challenges and opportunities for information visualization. In: Computer Graphics Forum, September 2017. https://doi.org/10.1111/cgf.13264
Dias, C.C.: Usabilidade na web: criando portais mais acessíveis. Alta Books (2007)
Elastic.co: Kibana User Guide [4.6] — Elastic (2018). https://www.elastic.co/guide/en/kibana/current/index.html
Few, S.: Information Dashboard Design. O’Reilly, Sebastopol (2006)
Grafana Labs: Grafana documentation — Grafana Documentation (2018). http://docs.grafana.org/
Guimaraes, V.T., Freitas, C.M.D.S., Sadre, R., Tarouco, L.M.R., Granville, L.Z.: A survey on information visualization for network and service management. IEEE Commun. Surv. Tutor. 18(1), 285–323 (2016). https://doi.org/10.1109/COMST.2015.2450538
Jacobs, K.: Data-Driven Security: Analysis, Visualization and Dashboards, 1st edn. Wiley, Hoboken (2014). https://doi.org/10.1017/CBO9781107415324.004
Kirk, A.: Data Visualization: A Successful Design Process: A Structured Design Approach to Equip You With the Knowledge of How to Successfully Accomplish any Data Visualization Challenge Efficiently and Effectively. Packt Publishing, Birmingham (2012)
McKenna, S., Staheli, D., Fulcher, C., Meyer, M.: BubbleNet: a cyber security dashboard for visualizing patterns. In: Proceedings of the Eurographics/IEEE VGTC Conference on Visualization, EuroVis 2016, pp. 281–290. Eurographics Association, Goslar (2016). https://doi.org/10.1111/cgf.12904
Munzner, T., Maguire, E.: Visualization Analysis & Design. AK Peters, Natick (2015). https://doi.org/10.1002/9781119978176
Splunk: Authentication - Splunk Documentation (2018). http://docs.splunk.com/Documentation/CIM/4.11.0/User/Authentication
Tanenbaum, A.S., Wetherall, D.J.: Computer Networks, vol. 52. Pearson Prentice Hall, Upper Saddle River (2011). https://doi.org/10.1016/j.comnet.2008.04.002
Ware, C.: Information Visualization: Perception for Design (Interactive Technologies). Morgan Kaufmann, Burlington (2004)
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de Camargo, L.F., Moraes, A., Dias, D.R.C., Brega, J.R.F. (2020). Information Visualization Applied to Computer Network Security. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12250. Springer, Cham. https://doi.org/10.1007/978-3-030-58802-1_4
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DOI: https://doi.org/10.1007/978-3-030-58802-1_4
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