Forensic Tool Comparison on Instagram Digital Evidence Based on Android with The NIST Method

Imam Riadi(1), Anton Yudhana(2), Muhamad Caesar Febriansyah Putra(3),

DOI: https://doi.org/10.15294/sji.v5i2.16545


(1) Universitas Ahmad Dahlan
(2) Universitas Ahmad Dahlan
(3) Universitas Ahmad Dahlan

Abstract

The growth of Android-based smartphone users to access media in communicating using Instagram social media is very fast. Activities are carried out when using Instagram social media in communicating to share information such as sending chat texts and pictures. A large number of Instagram users make this application vulnerable to abuse of Instagram such as pornography crimes from Instagram users. This case can be forensic to get digital evidence in the form of chat text and pictures from Instagram messenger is a feature of Instagram. The investigation in this study uses the National Institute of Standards and Technology (NIST) method which provides several stages of collecting, examining, analyzing, reporting while forensic tools use forensic oxygen and axiom magnets. The results of the recovery and comparison of data result using Oxygen forensics and Axiom Magnets obtained digital evidence in the form of data in the form of images and chat. The data obtained by Magnet Axiom is 100% while forensic oxygen is 84%. These data are the results of the performance of both forensic applications in obtaining digital evidence that has been deleted from the Instagram messenger.

Keywords

Digital, Evidance, Instagram, NIST, Smartphone.

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References

R. Umar, I. Riadi, and G. M. Zamroni. 2018. Mobile Forensic Tools Evaluation for Digital Crime Investigation. Int. J. Adv. Sci. Eng. Inf. Technol., vol. 8(3): p. 949.

I. Riadi, R. Umar, and A. Firdonsyah. 2018. Forensic Tools Performance Analysis on Android-based Blackberry Messenger using NIST Measurements. Int. J. Electr. Comput. Eng. vol. 8(5): 3991–4003.

A. Kohar, I. Riadi, and A. Lutfi. 2015. Analysis of Smartphone Users Awareness Activities Cybercrime. Int. J. Comput. Appl. vol. 129(2): 1–6.

I. Riadi, A. Yudhana, M. Caesar, and F. Putra. 2018. Akuisisi Bukti Digital Pada Instagram Messenger Berbasis Android Menggunakan Metode National Institute Of Justice ( NIJ ). vol. 4(3): 219–227.

R. Umar, I. Riadi, and G. maulana Zamroni. 2017. A Comparative Study of Forensic Tools for WhatsApp Analysis using NIST Measurements. Int. J. Adv. Comput. Sci. Appl., vol. 8(12): 69–75.

R. Ruuhwan, I. Riadi, and Y. Prayudi. (2017). Evaluation of integrated digital forensics investigation framework for the investigation of smartphones using soft system methodology. Int. J. Electr. Comput. Eng. vol. 7(5): 2806–2817.

R. Rizal, I. Riadi, and Y. Prayudi. (2018). Network Forensics for Detecting Flooding Attack on Internet of Things ( IoT ) Device. Int. J. Cyber-Security Digit. Forensics. vol. 7(4): 382–390.

M. Kukuh, I. Riadi, and Y. Prayudi. (2018). Forensics Acquisition and Analysis Method of IMO Messenger. Int. J. Comput. Appl. vol. 179(47): 9–14, .

I. Riadi, R. Umar, and A. Firdonsyah. (2017). Identification Of Digital Evidence On Android. Int. J. Comput. Sci. Inf. Secur. vol. 15(5): 3–8, .

A. Marfianto and I. Riadi. (2018). WhatsApp Messenger Forensic Analysis Based on Android Using Text Mining Method. Int. J. Cyber-Security Digit. Forensics, vol. 7(3): 319–327.

E. S. Remaja. (2017). Eksistensi Sosial Remaja dalam Instagram. Visi Komun., vol. 16(1) 151–160.

M. Nur Faiz, R. Umar, and A. Yudhana. (2016). Analisis Live Forensics Untuk Perbandingan Kemananan Email Pada Sistem Operasi Proprietary. J. Ilm. Ilk., vol. 8(3) 242–247.

R. A. Putra, A. Fadlil, and I. Riadi. (2017). Forensik Mobile Pada Smartwach Berbasis Android,†Jurti, vol. 1(1): 41–47.

I. Riadi, A. Fadlil, and A. Fauzan. (2018). Evidence Gathering and Identification of LINE Messenger on Android Device. Int. J. Comput. Sci. Inf. Secur. (IJCSIS), vol. 16(5): 201–205.

I. Riadi, S. Sunardi, and A. Fauzan. (2018). Examination of Digital Evidence on Android-based LINE Messenger. Int. J. Cyber-Security Digit. Forensics, vol. 7(3): 337–343.

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Scientific Journal of Informatics (SJI)
p-ISSN 2407-7658 | e-ISSN 2460-0040
Published By Department of Computer Science Universitas Negeri Semarang
Website: https://journal.unnes.ac.id/nju/index.php/sji
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