Affiliation:
1. CSE Department, University of South Carolina, Columbia, SC, USA
Abstract
Device fingerprinting, similar to that of humans, if done well, can provide a convenient form of identification. In this poster, we explore whether constituent hardware sensors like accelerometers and gyroscopes of different smartphones can be exploited to fingerprint a smartphone. We observe that the readings of these sensors exhibit diverse features for different smartphones consistently when subjected to the same action.
Publisher
Association for Computing Machinery (ACM)
Reference3 articles.
1. ANDREJAIC M. Mems accelerometers. Seminar (March 2008). ANDREJAIC M. Mems accelerometers. Seminar (March 2008).
Cited by
6 articles.
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