Browsing Behavior Analysis from Wi-Fi Logs Based on Community Detection: Case Study on Educational Institution

Mei Silviana Saputri, Ari Wibisono, Adila Alfa Krisnadhi, Adhi Yuniarto Laurentius Yohanes, Teuku Amrullah Faisal, Alvin Wardhana Utama, Muhammad Azmi Malik Ariefa, Andre Ramadhani, Aminur Muda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

As the growth of technology, the need of internet increases. Wireless internet technology or called Wi-Fi is dominate. Hence, monitoring the usage of Wi-Fi is crucial. Community detection is a technique which can be used to understand browsing behavior analysis. Using this approach, a website is represented as a node in a graph and the transition over websites is represented as an edge where the weight of an edge is calculated based on the frequency of website transition. In this study, we implement two community detection algorithms which support directed and weighted graph, i.e Girvan-Newman and Infomap to know the communities of websites accessed by Wi-Fi users. An evaluation metrics named modularity is employed to access the quality of both algorithms. The results of our experiment show that Infomap performs better to detect communities than Girvan-Newman. Based on browsing behavior analysis, it can be understood that the Wi-Fi network is mostly used for education, entertainment and government purposes. However, we also obtain insight regarding the misbehavior activities which need prevention.

Original languageEnglish
Title of host publication2018 International Workshop on Big Data and Information Security, IWBIS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages87-92
Number of pages6
ISBN (Electronic)9781538655252
DOIs
Publication statusPublished - 24 Sep 2018
Event2018 International Workshop on Big Data and Information Security, IWBIS 2018 - Balai Kartini, Jakarta, Indonesia
Duration: 12 May 201813 May 2018

Publication series

Name2018 International Workshop on Big Data and Information Security, IWBIS 2018

Conference

Conference2018 International Workshop on Big Data and Information Security, IWBIS 2018
CountryIndonesia
CityBalai Kartini, Jakarta
Period12/05/1813/05/18

Keywords

  • Community detection
  • Girvan-Newman
  • Infomap
  • Modularity
  • Wi-Fi logs

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    Saputri, M. S., Wibisono, A., Krisnadhi, A. A., Yohanes, A. Y. L., Faisal, T. A., Utama, A. W., Ariefa, M. A. M., Ramadhani, A., & Muda, A. (2018). Browsing Behavior Analysis from Wi-Fi Logs Based on Community Detection: Case Study on Educational Institution. In 2018 International Workshop on Big Data and Information Security, IWBIS 2018 (pp. 87-92). [8471720] (2018 International Workshop on Big Data and Information Security, IWBIS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWBIS.2018.8471720