WhatsApp Chat Visualizer: A Visualization of WhatsApp Messenger’s Artifact Using the Timeline Method

  • Hardiansyah Shidek School of Computing, Telkom University
  • Niken Cahyani School of Computing, Telkom University
  • Aulia Arif Wardana School of Computing, Telkom University
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WhatsApp is a medium that everyone can use to interact and to share information effectively and efficiently. However, it can be misused for criminal activities. Analyzing WhatsApp' artifacts is quite challenging as the suspect may have a lot of random conversational data to be considered. This makes it difficult for the trial process to obtain digital traces that can be identified in malicious activities such as knowing who was involved when the conversation was held and the timespan. Therefore, in this research, a social media investigation of WhatsApp was carried out by acquiring data from rooted Android devices that were used as target devices for forensic activities. A python-based application is developed to show the content of the conversation, and a web-based application is presented to visualize the data using the Timeline method. Experimental results in this research display important timeline information such as information about who was involved when and what time the conversation was carried out with the suspect.


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Allen, R. B. (1995). Interactive timelines as information system interfaces. In Symposium on digital libraries (Vol. 175, p. 180).

Anglano, C. (2014). Forensic analysis of whatsapp messenger on android smartphones. Digital Investigation, 11(3), 201–213.

Anwar, N., & Riadi, I. (2017). Analisis investigasi forensik whatsapp messenger smartphone terhadap whatsapp berbasis web. Jurnal Ilmu Teknik Elektro Komputer dan Informatika (JITEKI), 3(1), 1–10.

Casey, E. (2011). Digital evidence and computer crime: Forensic science, computers, and the internet. Academic press.

Clement, J. (2020, Apr). Number of monthly active whatsapp users as of 2013-2020. statista.com. Retrieved from https://www.statista.com/statistics/260819/ number-of-monthly-active-whatsapp-users/

Cortjens, D., Spruyt, A., & Wieringa, W. (2012). Whatsapp database encryption project report (Tech. Rep.). Technical report, 2011. Available at https://www. os3. nl/media/2011-2012.

Google. (2020, Jan). Timelines | charts | google developers. Author. Retrieved from https:// developers.google.com/chart/interactive/docs/gallery/timeline

Hariyadi, D., Winarno, W. W., & Luthfi, A. (2016). Analisis konten dugaan tindak kejahatan dengan barang bukti digital blackberry messenger. Teknomatika STMIK Jenderal Achmad Yani Yogyakarta, 9(1), 81–89.

Koum, J., & Acton, B. (2016, Apr). Whatsapp. Retrieved from https://blog.whatsapp.com/ end-to-end-encryption

Nguyen, P. H., Xu, K., Walker, R., & Wong, B. W. (2014). Schemaline: Timeline visualization for sensemaking. In 2014 18th international conference on information visualisation (pp. 225–233).

Nguyen, P. H., Xu, K., Walker, R., & Wong, B. W. (2016). Timesets: Timeline visualization with set relations. Information Visualization, 15(3), 253–269.

Olsson, J., & Boldt, M. (2009). Computer forensic timeline visualization tool. digital investigation, 6, S78–S87.

Pavlik, M., & MacIntoch, S. (n.d.). John, & shawn.(2015). Converging Media, 189.

Plaisant, C., Milash, B., Rose, A., Widoff, S., & Shneiderman, B. (1996). Lifelines: visualizing personal histories. In Proceedings of the sigchi conference on human factors in computing systems (pp. 221–227).

Pomalingo, S., Sugiantoro, B., & Prayudi, Y. (2019). Data visualisasi sebagai pendukung investigasi media sosial. ILKOM Jurnal Ilmiah, 11(2), 143–151.

Sai, D. M., Prasad, N., & Dekka, S. (2015). The forensic process analysis of mobile device. Int. J. Comput. Sci. Inf. Technol, 6(5), 4847–4850.

Stab, C., Nazemi, K., & Fellner, D. W. (2010). Sematime-timeline visualization of time-dependent relations and semantics. In International symposium on visual computing (pp. 514–523).

Tassone, C., Martini, B., & Choo, K.-K. (2017). Forensic visualization: survey and future research directions. In Contemporary digital forensic investigations of cloud and mobile applications (pp. 163–184). Elsevier.

Tassone, C. F., Martini, B., & Choo, K.-K. R. (2017). Visualizing digital forensic datasets: a proof of concept. Journal of forensic sciences, 62(5), 1197–1204.

Thakur, N. S. (2013). Forensic analysis of whatsapp on android smartphones.

Umar, R., Riadi, I., Zamroni, G. M., et al. (2018). Mobile forensic tools evaluation for digital crime investigation. Int. J. Adv. Sci. Eng. Inf. Technol, 8(3), 949.

Wang, Z., & Yuan, X. (2014). Urban trajectory timeline visualization. In 2014 international conference on big data and smart computing (bigcomp) (pp. 13–18).

Yadav, S., Prakash, S., Dayal, N., & Singh, V. (2020). Forensics analysis of whatsapp in android mobile phone. Available at SSRN 3576379.

How to Cite
Shidek, H., Cahyani, N., & Wardana, A. A. (2020). WhatsApp Chat Visualizer: A Visualization of WhatsApp Messenger’s Artifact Using the Timeline Method. International Journal on Information and Communication Technology (IJoICT), 6(1), 1-9. https://doi.org/10.21108/IJOICT.2020.61.489
Security & Cryptography