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Investigating Social Media User Activity on Android Smartphone

by Muhammad Romi Nasution, Yudi Prayudi, Ahmad Luthfi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 48
Year of Publication: 2022
Authors: Muhammad Romi Nasution, Yudi Prayudi, Ahmad Luthfi
10.5120/ijca2022921890

Muhammad Romi Nasution, Yudi Prayudi, Ahmad Luthfi . Investigating Social Media User Activity on Android Smartphone. International Journal of Computer Applications. 183, 48 ( Jan 2022), 46-52. DOI=10.5120/ijca2022921890

@article{ 10.5120/ijca2022921890,
author = { Muhammad Romi Nasution, Yudi Prayudi, Ahmad Luthfi },
title = { Investigating Social Media User Activity on Android Smartphone },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2022 },
volume = { 183 },
number = { 48 },
month = { Jan },
year = { 2022 },
issn = { 0975-8887 },
pages = { 46-52 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number48/32258-2022921890/ },
doi = { 10.5120/ijca2022921890 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:15:18.972252+05:30
%A Muhammad Romi Nasution
%A Yudi Prayudi
%A Ahmad Luthfi
%T Investigating Social Media User Activity on Android Smartphone
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 48
%P 46-52
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Considering the trend of social interaction and relationships on the internet, online social media has greatly affected people's daily lives. Everyone can now easily connect in their social circle via smartphone, making it an easier choice by users. Social media applications definitely leave their mark on smartphones. The attractive trait of smartphones for forensic examiners is due to user activity on smartphones. Forensic investigators can extract evidence by selecting appropriate extraction techniques and forensic tools. The main contribution of this research is to emphasize digital forensics on android smartphones on the well-known social media application TikTok, because it is one of the social media that is currently on the rise, judging by the advantages of TikTok in presenting short video content so creative and interesting. some users create content to get more attention and recognition thereby increasing their sociality. The purpose of the study was to identify the characteristics of activity on smartphones when using more than one TikTok account.

References
  1. C. Anglano, M. Canonico, and M. Guazzone, “The Android Forensics Automator (AnForA): A tool for the Automated Forensic Analysis of Android Applications,” Comput. Secur., vol. 88, 2020, doi: 10.1016/j.cose.2019.101650.
  2. D. Kim and S. Lee, “Study of identifying and managing the potential evidence for effective Android forensics,” Forensic Sci. Int. Digit. Investig., vol. 33, 2020, doi: 10.1016/j.fsidi.2019.200897.
  3. A. Ali and Fazeel, “Forensic examination of social networking applications on smartphones,” Proc. - 2015 Conf. Inf. Assur. Cyber Secur. CIACS 2015, pp. 36–43, 2016, doi: 10.1109/CIACS.2015.7395564.
  4. E. Bresnick, “Intensified Play: Cinematic study of TikTok mobile app,” Univ. South. Calif., vol. 4, no. 4, pp. 1–12, 2019, [Online]. Available: https://www.researchgate.net/publication/335570557_Intensified_Play_Cinematic_study_of_TikTok_mobile_app.
  5. L. Xu, X. Yan, and Z. Zhang, “Research on the Causes of the ‘Tik Tok’ App Becoming Popular and the Existing Problems,” J. Adv. Manag. Sci., vol. 7, no. 2, pp. 59–63, 2019, doi: 10.18178/joams.7.2.59-63.
  6. G. Weimann and N. Masri, “Research Note: Spreading Hate on TikTok,” Stud. Confl. Terror., vol. 0, no. 0, pp. 1–14, 2020, doi: 10.1080/1057610X.2020.1780027.
  7. Y. Wang, “Humor and camera view on mobile short-form video apps influence user experience and technology-adoption intent, an example of TikTok (DouYin),” Comput. Human Behav., vol. 110, no. November 2019, p. 106373, 2020, doi: 10.1016/j.chb.2020.106373.
  8. Z. Brahmia, H. Hamrouni, and R. Bouaziz, “XML data manipulation in conventional and temporal XML databases: A survey,” Comput. Sci. Rev., vol. 36, p. 100231, 2020, doi: 10.1016/j.cosrev.2020.100231.
  9. P. Cedillo, J. Camacho, K. Campos, and A. Bermeo, “A forensics activity logger to extract user activity from mobile devices,” 2019 6th Int. Conf. eDemocracy eGovernment, ICEDEG 2019, pp. 286–290, 2019, doi: 10.1109/ICEDEG.2019.8734298.
  10. A. Oliveira, T. Kohwalter, M. Kalinowski, L. Murta, and V. Braganholo, “XChange: A semantic diff approach for XML documents,” Inf. Syst., vol. 94, no. August, 2020, doi: 10.1016/j.is.2020.101610.
  11. N. Hoang Khoa, P. The Duy, H. Do Hoang, D. Thi Thu Hien, and V. H. Pham, “Forensic analysis of TikTok application to seek digital artifacts on Android smartphone,” Proc. - 2020 RIVF Int. Conf. Comput. Commun. Technol. RIVF 2020, 2020, doi: 10.1109/RIVF48685.2020.9140739.
  12. I. Riadi, A. Yudhana, and M. C. F. Putra, “Forensic Tool Comparison on Instagram Digital Evidence Based on Android with The NIST Method,” Sci. J. Informatics, vol. 5, no. 2, pp. 235–247, 2018, doi: 10.15294/sji.v5i2.16545.
  13. R. Ayers, W. Jansen, and S. Brothers, “Guidelines on mobile device forensics (NIST Special Publication 800-101 Revision 1),” NIST Spec. Publ., vol. 1, no. 1, p. 85, 2014, [Online]. Available: http://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-101r1.pdf.
  14. F. Norouzizadeh Dezfouli, A. Dehghantanha, B. Eterovic-Soric, and K. K. R. Choo, “Investigating Social Networking applications on smartphones detecting Facebook, Twitter, LinkedIn and Google+ artefacts on Android and iOS platforms,” Aust. J. Forensic Sci., vol. 48, no. 4, pp. 469–488, 2016, doi: 10.1080/00450618.2015.1066854.
  15. T. Laurenson, S. MacDonell, and H. Wolfe, “Towards a standardised strategy to collect and distribute application software artifacts,” Aust. Digit. Forensics Conf. ADF 2015, vol. 2015, pp. 54–61, 2015, doi: 10.4225/75/57b3f5cffb889.
Index Terms

Computer Science
Information Sciences

Keywords

Smartphone Android Activity Digital Forensics Social Media

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