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Audio Forensics on Smartphone with Digital Forensics Research Workshop (DFRWS) Method

CommIT (Communication and Information Technology) Journal · Vol. 15 No. 1 (2021) · pp. 41–47

DOI
10.21512/commit.v15i1.6739
ISSN
2460-7010, 1979-2484
Published
2021-03-20
Publisher
Bina Nusantara University
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Audio is one of the digital items that can reveal a happened case. However, audio evidence can also be manipulated and changed to hide information. Forensics audio is a technique to identify the sound’s owner from the audio using pitch, formant, and spectrogram parameters. The conducted research examines the similarity of the original sound with the manipulated voice to determine the owner of the sound. It analyzes the level of similarity or identical sound using spectrogram analysis with the Digital Forensics Research Workshop (DFRWS) Method. The research objects are original and manipulated files. Both files are in mp3 format, which is encoded to WAV format. Then, the live forensics method is used by picking up the data on a smartphone. Several applications are also used. The results show that the research successfully gets digital evidence on a smartphone with the Oxygen Forensic application. It extracts digital evidence in the form of two audio files and two video files. Then, by the hashing process, the four obtained files are proven to be authentic. Around 90% of the data are identical to the original voice recording. Only 10% of the data are not identical.

Keywords

Collaboration network of the authors

40 authors · 93 co-authorship links · 9 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Ahmad Dahlan
  • Islamic University of Indonesia
  • Siliwangi University
  • Hasanuddin University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Anton YudhanaUniversitas Ahmad Dahlan4
Rusydi UmarUniversitas Ahmad Dahlan4
Abdul FadlilUniversitas Ahmad Dahlan4
Yudi PrayudiIslamic University of Indonesia3
Rio AnggaraUniversitas Ahmad Dahlan2
Sunardi SunardiUniversitas Ahmad Dahlan2
Nur WidiyasonoSiliwangi University2
Ahmad LuthfieAffiliation unknown2
Firmansyah FirmansyahHasanuddin University2
Ainunna’imahUniversitas Ahmad Dahlan1
Herman YuliansyahUniversitas Ahmad Dahlan1
HermanUniversitas Ahmad Dahlan1
FitriahUniversitas Ahmad Dahlan1
Asno Azzawagama FirdausUniversitas Ahmad Dahlan1
Imam Mahfudl NasrullohUniversitas Ahmad Dahlan1
Fauzan NatsirAffiliation unknown1
Eri HaryantoIslamic University of Indonesia1
Sahiruddin SahiruddinHasanuddin University1
W YunanriUniversitas Ahmad Dahlan1
Siti HelmiyahUniversitas Ahmad Dahlan1
Abdullah HanifUniversitas Ahmad Dahlan1
Nurmi HidayasariIslamic University of Indonesia1
Ruuhwan RuuhwanAffiliation unknown1
Arizona FirdonsyahUniversitas Ahmad Dahlan1
Fahmi AnwarSiliwangi University1
Muhammad Kunta BiddinikaUniversitas Ahmad Dahlan1
Muhammad Fahmi Mubarok NahdliAffiliation unknown1
Suwanti SuwantiAffiliation unknown1
HERMAN HERMANUniversitas Ahmad Dahlan1
Jihan WalaAffiliation unknown1
Yuliani IndrianingsihAffiliation unknown1
Astika AyuningtyasAffiliation unknown1
Haruno SajatiAffiliation unknown1
Anggraini KusumaningrumAffiliation unknown1
Fajar Khanif RahmawatiAffiliation unknown1
Fijaya Dwi Bima Sakti PutraAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.binus.ac.id/index.php/commit/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Audio Forensics on Smartphone with Digital Forensics Research Workshop (DFRWS) Method</dc:title>
	<dc:creator>Sunardi, Sunardi</dc:creator>
	<dc:creator>Riadi, Imam</dc:creator>
	<dc:creator>Umar, Rusydi</dc:creator>
	<dc:creator>Gustafi, Muhammad Fauzan</dc:creator>
	<dc:subject xml:lang="en-US">Audio Forensics</dc:subject>
	<dc:subject xml:lang="en-US">Smartphone</dc:subject>
	<dc:subject xml:lang="en-US">Digital Forensics Research Workshop (DFRWS)</dc:subject>
	<dc:description xml:lang="en-US">Audio is one of the digital items that can reveal a happened case. However, audio evidence can also be manipulated and changed to hide information. Forensics audio is a technique to identify the sound’s owner from the audio using pitch, formant, and spectrogram parameters. The conducted research examines the similarity of the original sound with the manipulated voice to determine the owner of the sound. It analyzes the level of similarity or identical sound using spectrogram analysis with the Digital Forensics Research Workshop (DFRWS) Method. The research objects are original and manipulated files. Both files are in mp3 format, which is encoded to WAV format. Then, the live forensics method is used by picking up the data on a smartphone. Several applications are also used. The results show that the research successfully gets digital evidence on a smartphone with the Oxygen Forensic application. It extracts digital evidence in the form of two audio files and two video files. Then, by the hashing process, the four obtained files are proven to be authentic. Around 90% of the data are identical to the original voice recording. Only 10% of the data are not identical.</dc:description>
	<dc:publisher xml:lang="en-US">Bina Nusantara University</dc:publisher>
	<dc:date>2021-03-20</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.binus.ac.id/index.php/commit/article/view/6739</dc:identifier>
	<dc:identifier>10.21512/commit.v15i1.6739</dc:identifier>
	<dc:source xml:lang="en-US">CommIT (Communication and Information Technology) Journal; Vol. 15 No. 1 (2021): CommIT Journal; 41-47</dc:source>
	<dc:source>2460-7010</dc:source>
	<dc:source>1979-2484</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.binus.ac.id/index.php/commit/article/view/6739/4061</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2021 Sunardi Sunardi, Imam Riadi, Rusydi Umar, Muhammad Fauzan Gustafi</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>