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Mobile Forensics Analysis of Line Messenger on Illegal Drug Transaction Case using National Institute of Standard Technology (NIST) Method

by Aulia Putri Utami, Imam Riadi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 32
Year of Publication: 2021
Authors: Aulia Putri Utami, Imam Riadi
10.5120/ijca2021921712

Aulia Putri Utami, Imam Riadi . Mobile Forensics Analysis of Line Messenger on Illegal Drug Transaction Case using National Institute of Standard Technology (NIST) Method. International Journal of Computer Applications. 183, 32 ( Oct 2021), 23-33. DOI=10.5120/ijca2021921712

@article{ 10.5120/ijca2021921712,
author = { Aulia Putri Utami, Imam Riadi },
title = { Mobile Forensics Analysis of Line Messenger on Illegal Drug Transaction Case using National Institute of Standard Technology (NIST) Method },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2021 },
volume = { 183 },
number = { 32 },
month = { Oct },
year = { 2021 },
issn = { 0975-8887 },
pages = { 23-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number32/32139-2021921712/ },
doi = { 10.5120/ijca2021921712 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:18:33.338984+05:30
%A Aulia Putri Utami
%A Imam Riadi
%T Mobile Forensics Analysis of Line Messenger on Illegal Drug Transaction Case using National Institute of Standard Technology (NIST) Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 32
%P 23-33
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The rapid development of technology and information every year has caused an increase in the use of social media applications in the world to jump up to 40 percent due to the COVID-19 pandemic. The increase in the use of IM applications is followed by the development of the negative side of the use of technology, one of which is drug transactions. This study makes a simulation for cases of online drug transactions through the LINE service on an Android-based smartphone which is analyzed using the steps recommended by the National Institute of Standards and Technology. Simulation tests were carried out using Magnet AXIOM, Autopsy, and MOBILedit Forensics Express displayed with the DataReader program. Based on the test results, digital evidence in the form of LINE accounts, pictures, phone history, and geo-locations that have been deleted have been successfully recovered with the percentage of discovery using MOBILedit as much as 71%, Autopsy 57%, and Magnet AXIOM 43%. The results of word cloud visualization using text mining in the RStudio application also succeeded in detecting words related to drug cases, namely paket and gorila.

References
  1. S. RACHMIE, “The Role of Forensic Digital Science on. Investigating Website Hacking Cases,” Litigasi, vol. 21, no. 21, pp. 104–127, 2020, doi: 10.23969/litigasi.v21i1.2388.
  2. E. Ramadhan and D. Mualfah, “WeChat Application Digital Evidence Investigation Using Integrated Digital Forensics Process Model (IDFPM) Framework Based on SNI 27037:2014,” vol. 4, no. June, 2021.
  3. A. Wirara, B. Hardiawan, and M. Salman, “Identification of Digital Evidence on Mobile Device Acquisition of Instant Messaging Application 'WhatsApp,'” Teknoin, vol. 26, no. 1, pp. 66–74, 2020, doi: 10.20885/teknoin.vol26.iss1.art7.
  4. M. Fitriana, K. A. AR, and J. M. Marsya, “Application of the National Institute of Standards and Technology (NIST) Methods in Digital Forensic Analysis for Handling Cyber Crime,” Cybersp. J. Pendidik. Teknol. Inf., vol. 4, no. 1, p. 29, 2020, doi: 10.22373/cj.v4i1.7241.
  5. M. Riskiyadi, “Forensic Investigation of Digital Evidence In Exposing Cybercrime,” Cyber Secur. dan Forensik Digit., vol. 3, no. 2, pp. 12–21, 2020, doi: 10.14421/csecurity.2020.3.2.2144.
  6. A. Yudhana, I. Riadi, and I. Anshori, “Facebook Messenger Digital Evidence Analysis Using the NIST Method,” It J. Res. Dev., vol. 3, no. 1, pp. 13–21, 2018, doi: 10.25299/itjrd.2018.vol3(1).1658.
  7. I. G. N. Guna Wicaksana and I. K. Gede Suhartana, “Forensic Analysis of Telegram Desktop-based Applications using the National Institute of Justice (NIJ) Method,” JELIKU (Jurnal Elektron. Ilmu Komput. Udayana), vol. 8, no. 4, p. 381, 2020, doi: 10.24843/jlk.2020.v08.i04.p03.
  8. I. Riadi, R. Umar, and M. A. Aziz, “Web Forensics Instant Messaging Service Using Association of Chief Police Officers (ACPO) Methods,” Mob. Forensics, vol. 1, no. 1, p. 30, 2019, doi: 10.12928/mf.v1i1.705.
  9. R. Umar and Sahiruddin, “NIST Method for Forensic Analysis of Digital Evidence on Android Devices,” Pros. SENDU_U_2019, pp. 978–979, 2019.
  10. S. Ikhsani and C. Hidayanto, “Forensic Analysis of Whatsapp and LINE Messenger Provides Strong and Valid Evidence in Indonesia,” J. Tek. Its, vol. 5, no. 2, pp. 728–736, 2016.
  11. F. Sulianta, Forensic Computer. Jakarta: Elex Media Komptindo, 2008.
  12. M. N. Al-Azhar, Digital Forensic: A Practical Guide to Computer Investigation. Jakarta: Salemba Infotek, 2012.
  13. M. S. Asyaky, “Analysis and Comparison of Digital Evidence Instant Messenger Applications On Android,” J. Penelit. Tek. Inform., vol. Vol. 3 No, no. 1, pp. 220–231, 2019.
  14. T. D. Larasati and B. C. Hidayanto, “Live Forensics Analysis for Comparison of Instant Messenger Applications on Windows 10 Operating System,” Sesindo, vol. 6, no. November, pp. 456–256, 2017.
  15. M. N. Faiz, R. Umar, and A. Yudhana, “Live Forensics Analysis For Comparison Of Email Security On Proprietary Operating Systems,” Ilk. J. Ilm., vol. 8, no. 3, pp. 242–247, 2016, doi: 10.33096/ilkom.v8i3.79.242-247.
  16. I. Z. Yadi and Y. N. Kunang, “Forensics On Android Platform,” Konf. Nas. Ilmu Komput., pp. 141–148, 2014, [Online]. Available: http://eprints.binadarma.ac.id/2191/.
  17. Ahwan ahmadi, T. Akbar, and H. Mandala Putra, “Comparison of Forensic Tool Results on Android Smartphone Image Files Using the NIST Method,” JIKO (Jurnal Inform. dan Komputer), vol. 4, no. 2, pp. 92–97, 2021, doi: 10.33387/jiko.v4i2.2812.
  18. H. BNN, “Understanding Drugs and the Dangers of Drugs for Health,” 2019. https://bnn.go.id/pengertian-narkoba-dan-bahaya-narkoba-bagi-kesehatan/ (accessed Jan. 02, 2021).
  19. F. Musyafi and I. Afrianto, “Building a Chat Application with a Mobile-Based Automatic Translator (Membangun Aplikasi Chatting dengan Penerjemah Otomatis Berbasis Mobile),” vol. 4, no. 2, 2015.
  20. A. Fauzan, I. Riadi, and A. Fadlil, “Digital Forensic Analysis on Line Messenger for Cybercrime Handling,” Annu. Res. Semin., vol. 2, no. 1, pp. 159–163, 2017, [Online]. Available: http://seminar.ilkom.unsri.ac.id/index.php/ars/article/view/832/752.
  21. S. R. Department, “LINE - statistic & facts,” Statista Research Department, 2021. https://www.statista.com/topics/1999/line/ (accessed Mar. 26, 2021).
  22. M. Sobri, Emigawaty, and N. R. Damayanti, Introduction to Information Technology - Concepts and Theories. Yogyakarta: Penerbit Andi, 2017.
  23. M. W. Indriyanto, D. Hariyadi, and M. Habibi, “Digital Forensics Investigation and Analysis on Whatsapp Group Chats using Nist Sp 800-86 And Support Vector Machine,” vol. 3, no. 2, pp. 34–38, 2020.
  24. R. Umar, A. Yudhana, and M. Nur Faiz, “Performance Analysis of Live Forensics Methods for Random Access Memory Investigations in Proprietary Systems,” Pros. Konf. Nas. Ke- 4 Asos. Progr. Pascasarj. Perguru. Tinggi Muhammadiyah, pp. 207–211, 2016.
  25. R. Agrawal, “Importance of Text Data Preprocessing & Implementation in RapidMiner,” no. January, 2018, doi: 10.15439/2017KM46.
Index Terms

Computer Science
Information Sciences

Keywords

Forensics Mobile LINE Narcotics NIST Wordcloud

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