TY - GEN
T1 - Mobile Commerce - Analysis and Investigation of the Online Safety, Privacy, and Data Forensics of Amazon and Etsy Apps
AU - Dorai, Gokila
AU - Hutchinson, Shinelle
AU - Rodriguez, Beatriz
AU - Karabiyik, Umit
N1 - Publisher Copyright:
© 2023 IEEE Computer Society. All rights reserved.
PY - 2023
Y1 - 2023
N2 - The COVID19 pandemic has led to the proliferation of the use of online shopping applications among millions of customers worldwide. The enormous potential in technological advancements, particularly mobile technology, has directly impacted mobile commerce, where the shopping process has become so convenient. While the benefits of mobile commerce are multi-fold, the current privacy practices and the extent of user data residue in shopping apps have been less explored. In this paper, we conducted an in-depth, systematic analysis of two of the most popular mobile shopping apps - Amazon and Etsy. Our analysis led to the recovery of user data and shopping activity artifacts from Amazon and Etsy buyer and seller apps on Android/iOS devices. Based on the user data and artifacts found, we have also discussed the implications of default privacy settings, the importance of online safety policies prior to product listings, and implications for research and practice.
AB - The COVID19 pandemic has led to the proliferation of the use of online shopping applications among millions of customers worldwide. The enormous potential in technological advancements, particularly mobile technology, has directly impacted mobile commerce, where the shopping process has become so convenient. While the benefits of mobile commerce are multi-fold, the current privacy practices and the extent of user data residue in shopping apps have been less explored. In this paper, we conducted an in-depth, systematic analysis of two of the most popular mobile shopping apps - Amazon and Etsy. Our analysis led to the recovery of user data and shopping activity artifacts from Amazon and Etsy buyer and seller apps on Android/iOS devices. Based on the user data and artifacts found, we have also discussed the implications of default privacy settings, the importance of online safety policies prior to product listings, and implications for research and practice.
UR - http://www.scopus.com/inward/record.url?scp=85152136882&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85152136882&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85152136882
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 4371
EP - 4380
BT - Proceedings of the 56th Annual Hawaii International Conference on System Sciences, HICSS 2023
A2 - Bui, Tung X.
PB - IEEE Computer Society
T2 - 56th Annual Hawaii International Conference on System Sciences, HICSS 2023
Y2 - 3 January 2023 through 6 January 2023
ER -