Detecting Phone Theft Using Machine Learning-Reference-Cited by-同舟云学术

Detecting Phone Theft Using Machine Learning

Published:2018-04-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 International Conference on Information Science and System
language:
Short-container-title:

Author:

Liu Xinyu¹,Wagner David¹,Egelman Serge²

Affiliation:

1. UC Berkeley

2. UC Berkeley/ICSI

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3209914.3209923

Reference14 articles.

1. 2017. Android Developers Sensor Manager https://developer.android.com/reference/android/hardware/SensorManager.html. 2017. Android Developers Sensor Manager https://developer.android.com/reference/android/hardware/SensorManager.html.

2. Jan Lauren Boyles and Aaron Smith and Mary Madden. 2012. Privacy and Data Management on Mobile Devices. http://www.pewinternet.org/2012/09/05/privacy-and-data-management-on-mobile-devices/ (September 5 2012). Jan Lauren Boyles and Aaron Smith and Mary Madden. 2012. Privacy and Data Management on Mobile Devices. http://www.pewinternet.org/2012/09/05/privacy-and-data-management-on-mobile-devices/ (September 5 2012).

3. SmartDog: Real-Time Detection of Smartphone Theft

4. Calla Deitrick. 2015. Smartphone thefts drop as kill switch usage grows. http://www.consumerreports.org/cro/news/2015/06/smartphone-thefts-on-the-decline/index.htm (June 11 2015). Calla Deitrick. 2015. Smartphone thefts drop as kill switch usage grows. http://www.consumerreports.org/cro/news/2015/06/smartphone-thefts-on-the-decline/index.htm (June 11 2015).

5. Unobtrusive User-Authentication on Mobile Phones Using Biometric Gait Recognition

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