Inferring Mobile Payment Passcodes Leveraging Wearable Devices

Date
2018-10
Language
English
Embargo Lift Date
Committee Members
Degree
Degree Year
Department
Grantor
Journal Title
Journal ISSN
Volume Title
Found At
ACM
Abstract

Mobile payment has drawn considerable attention due to its convenience of paying via personal mobile devices at anytime and anywhere, and passcodes (i.e., PINs) are the first choice of most consumers to authorize the payment. This work demonstrates a serious security breach and aims to raise the awareness of the public that the passcodes for authorizing transactions in mobile payments can be leaked by exploiting the embedded sensors in wearable devices (e.g., smartwatches). We present a passcode inference system, which examines to what extent the user's PIN during mobile payment could be revealed from a single wrist-worn wearable device under different input scenarios involving either two hands or a single hand. Extensive experiments with 15 volunteers demonstrate that an adversary is able to recover a user's PIN with high success rate within 5 tries under various input scenarios.

Description
item.page.description.tableofcontents
item.page.relation.haspart
Cite As
Wang, C., Liu, J., Guo, X., Wang, Y., & Chen, Y. (2018). Inferring Mobile Payment Passcodes Leveraging Wearable Devices. Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 789–791. https://doi.org/10.1145/3241539.3267742
ISSN
Publisher
Series/Report
Sponsorship
Major
Extent
Identifier
Relation
Journal
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking
Rights
Publisher Policy
Source
Author
Alternative Title
Type
Conference proceedings
Number
Volume
Conference Dates
Conference Host
Conference Location
Conference Name
Conference Panel
Conference Secretariat Location
Version
Author's manuscript
Full Text Available at
This item is under embargo {{howLong}}