SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Cahyani NDW, Choo KR, Ab Rahman NH, Ashman H. J. Forensic Sci. 2019; 64(1): 243-253.

Affiliation

School of Information Technology & Mathematical Sciences, University of South Australia, Adelaide, SA, 5095, Australia.

Copyright

(Copyright © 2019, American Society for Testing and Materials, Publisher John Wiley and Sons)

DOI

10.1111/1556-4029.13820

PMID

29783278

Abstract

Advances in technologies including development of smartphone features have contributed to the growth of mobile applications, including dating apps. However, online dating services can be misused. To support law enforcement investigations, a forensic taxonomy that provides a systematic classification of forensic artifacts from Windows Phone 8 (WP8) dating apps is presented in this study. The taxonomy has three categories, namely: Apps Categories, Artifacts Categories, and Data Partition Categories. This taxonomy is built based on the findings from a case study of 28 mobile dating apps, using mobile forensic tools. The dating app taxonomy can be used to inform future studies of dating and related apps, such as those from Android and iOS platforms.

© 2018 American Academy of Forensic Sciences.


Language: en

Keywords

Windows Phone platform; dating apps; digital evidence; forensic science; forensic taxonomy; mobile forensics

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print