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ACCessory: password inference using accelerometers on smartphones
Abstract
We show that accelerometer readings are a powerful side channel that can be used to extract entire sequences of entered text on a smart-phone touchscreen keyboard. This possibility is a concern for two main reasons. First, unauthorized access to one's keystrokes is a serious invasion of privacy as consumers increasingly use smartphones for sensitive transactions. Second, unlike many other sensors found on smartphones, the accelerometer does not require special privileges to access on current smartphone OSes. We show that accelerometer measurements can be used to extract 6-character passwords in as few as 4.5 trials (median).
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Cited by
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Zeadally, S., Adi, E., Baig, Z., & Khan, I. A. (2020) · IEEE Access · doi:10.1109/access.2020.2968045 · Cited by 316
Surveying the Development of Biometric User Authentication on Mobile Phones
Meng, W., Wong, D. S., Furnell, S., & Zhou, J. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2386915 · Cited by 300
Mobile sensor data anonymization
Malekzadeh, M., Clegg, R. G., Cavallaro, A., & Haddadi, H. (2019) · Proceedings of the International Conference on Internet of Things Design and Implementation · doi:10.1145/3302505.3310068 · Cited by 298
Continuous Authentication for Voice Assistants
Feng, H., Fawaz, K., & Shin, K. G. (2017) · Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking · doi:10.1145/3117811.3117823 · Cited by 293
Metadata
- Authors
- Owusu, E., Han, J., Das, S., Perrig, A., & Zhang, J.
- Venue
- Proceedings of the Twelfth Workshop on Mobile Computing Systems & Applications - HotMobile '12
- Publisher
- ACM Press
- Published
- 2012
- Pages
- 1
- OpenAlex
- W2074367177
- Cited by
- 370
- References
- 0
- Type
- conference abstract
- Language
- en
- Open access
- closed
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- Owusu, E., Han, J., Das, S., Perrig, A., & Zhang, J. (2012). ACCessory: password inference using accelerometers on smartphones. Proceedings of the Twelfth Workshop on Mobile Computing Systems & Applications - HotMobile '12. https://doi.org/10.1145/2162081.2162095
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