Anti Forensik Voice Note Menggunakan Whatsapp Mod
Abstract
Currently there is a social media application that provides additional features in the form of voice changers by utilizing the voice note feature of Whatsapp Mod which can blur the identity of the voice owner. In several articles, Whatsapp Mod claims that this application is an anti-banned application, so it is feared that Whatsapp Mod is an application that uses anti-forensic techniques in it. This study aims to prove whether voice modifiers using voice notes on Whatsapp Mod can be a form of anti-forensic activity which can later make it difficult for investigators to conduct investigations. This will be proven by the use of a special method in handling audio forensics in which there are four stages, namely Acquisition, Enhancement, Decoding, and Voice Recognition. Audio forensics analysis that was carried out between voice recordings modified using Whatsapp Mod voice notes and original voice recordings showed results that were not identical. This proves that the voice modifier using the Whatsapp Mod voice note is considered an effective anti-forensic tool.
Downloads
References
Al-Azhar, K. M. N. (2011). PUSAT LABORATORIUM FORENSIK POLRI BIDANG FISIKA DAN KOMPUTER FORENSIK AUDIO FORENSIC: Theory and Analysis. http://www.dukemagazine.duke.edu/issues/050608/images/050608-
Deva, B. S., & Mardianto, I. (2019). Teknik Audio forensics Menggunakan Metode Analisis Formant Bandwidth, Pitch dan Analisis Likelihood Ratio. ULTIMATICS, 10(2), 67–72. https://doi.org/10.31937/ti.v10i2.936
Dirman, D., Prayudi, Y., & Ramadhani, E. (2021). Model Alur Kerja Penanganan Bukti Digital Untuk Data Multimedia. JATISI (Jurnal Teknik Informatika Dan Sistem Informasi), 8(3), 1214–1225. https://doi.org/10.35957/jatisi.v8i3.987
Dzulfikar, H., Sisdarmanto Adinandra, & Ramadhani, E. (2021). The Comparison of Audio Analysis Using Audio Forensic Technique and Mel Frequency Cepstral Coefficient Method (MFCC) as the Requirement of Digital Evidence. Jurnal Online Informatika, 6(2), 145–154. https://doi.org/10.15575/join.v6i2.702
Farid, M. N., Putra, D. D., Hasanah, B., Institut, V., & Kalimantan, T. (2021). Analisis Pengaruh Perubahan Pitch & Background Noise pada Suara Rekaman Barang Bukti terhadap Performansi Metode-Metode di Audio forensics. Jurnal Teknologi Terpadu, 1(9), 1–8.
Hasa, M. F., Yudhana, A., & Fadlil, A. (2021). Implementasi Anti Forensik pada Harddisk. Jurnal Resti, 4(4), 736–744.
Hendra, B., & Henim, S. R. (2021). Jurnal Politeknik Caltex Riau. Jurnal Komputer Terapan, 7(2), 210–217. https://jurnal.pcr.ac.id/index.php/jkt/
Naning, S. (2022). Media Sosial Dan Budaya Selebriti Milenial Di Instagram Social Media and the Millenial Celebrities ’ Culture on Instagram. Jurnal Dakwah Dan Komunikasi, 13(1), 44–63.
Qureshi, M. A., & El-Alfy, E. S. M. (2019). Bibliography of digital image anti-forensics and anti-anti-forensics techniques. IET Image Processing, 13(11), 1811–1823. https://doi.org/10.1049/iet-ipr.2018.6587
Republika. (2023). Fitur Unik Whatsapp Mod. Republika.Co.Id. https://mlipir.republika.co.id/posts/197860/fitur-unik-gb-whatsapp-mod-apk-terbaru-2023-bisa-ubah-suara-voice-note
Statista. (2022). Number of Unique Whatsapp Mobile Users Worldwide 2022. Statista. https://www.statista.com/statistics/1306022/whatsapp-global-unique-users/
Taqiyya, S. A. (2021). Syarat dan Kekuatan Hukum Alat Bukti Elektronik. Hukum Online .Com. https://www.hukumonline.com/klinik/a/syarat-dan-kekuatan-hukum-alat-bukti-elektronik-cl5461/
Umar, R., Sunardi, S., & Gustafi, M. F. (2019). Analisis Statistik Pitch Rekaman Suara Yang Telah Dimanipulasi Menggunakan Audio forensics Untuk Keperluan Barang Bukti Digital. Mobile and Forensics, 1(1), 1–12. https://doi.org/10.12928/mf.v1i1.702
Wani, M. A., AlZahrani, A., & Bhat, W. A. (2020). File system anti-forensics – types, techniques and tools. Computer Fraud and Security. Bussiness Law Binus, 7(2), 14–19. https://www.magonlinelibrary.com/doi/abs/10.1016/S1361-3723%2820%2930030-0
Wicaksono, A., Adinandra, S., & Prayudi, Y. (2020). Penggabungan Metode Itakura Saito Distance dan Backpropagation Neural Network untuk Peningkatan Akurasi Suara pada Audio forensics (Combining Itakura Saito Distance and Backpropagation Neural Network Methods to Improve Sound Accuracy in Audio Forensic). Jurnal Informatika, 8(2), 225–233.
Wikantiyoso, S. (2020). Analisis Efisiensi Algoritma Akuisisi Forensik Digital. https://dspace.uii.ac.id/handle/123456789/28852%0Ahttps://dspace.uii.ac.id/bitstream/handle/123456789/28852/16523017 Sujatmiko W.pdf?sequence=1
Copyright (c) 2023 Hanifah Mardlatillah, Yudi Prayudi, Erika Ramadhani (Author)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.