Triage Approach for the Forensic Analysis of Apple iOS Audio Files Recorded Using the "Voice Memos" App

Smith J, Lacey D, Koenig B, Grigoras C. Triage Approach for the Forensic Analysis of Apple iOS Audio Files Recorded Using the "Voice Memos" App. In: AES Conference: 2017 AES International Conference on Audio Forensics. Audio Engineering Society; 2017. Paper 1-5. Available from: https://aes.org/publications/elibrary-page/?id=18740

@inproceedings{Smith2017_18740,
  author = {Smith, Jeff and Lacey, Douglas and Koenig, Bruce and Grigoras, Catalin},
  title = {{Triage Approach for the Forensic Analysis of Apple iOS Audio Files Recorded Using the "Voice Memos" App}},
  booktitle = {AES Conference: 2017 AES International Conference on Audio Forensics},
  note = {Paper 1-5},
  year = {2017},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=18740}
}

TY  - CPAPER
TI  - Triage Approach for the Forensic Analysis of Apple iOS Audio Files Recorded Using the "Voice Memos" App
AU  - Smith, Jeff
AU  - Lacey, Douglas
AU  - Koenig, Bruce
AU  - Grigoras, Catalin
T2  - AES Conference: 2017 AES International Conference on Audio Forensics
M1  - Paper 1-5
PY  - 2017
DA  - 2017/06/06
UR  - https://aes.org/publications/elibrary-page/?id=18740
PB  - Audio Engineering Society
LA  - en
AB  - This paper describes the ongoing study into audio recordings originating from Apple iPhones and iPod Touch devices using the built-in “Voice Memos” app. The data collection procedure for producing test recordings from iPhones and iPod Touch devices will be described. These test recordings account for various capture, editing, and interruption scenarios, based on the inherent functionality of the “Voice Memos” app. Based on the metadata analysis of collected data, a decision tree, aimed at helping guide examinations into file originality involving recordings purported to have originated from the “Voice Memos” app, is developed and shared. Additionally, a study based on the practical application of the decision tree to real-world examples was undertaken and is discussed.
ER  -