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Efficient Intrusion Detection for Mobile Devices Using Spatio-temporal Mobility Patterns

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Abstract

Mobile phones are ubiquitous and are used for email, text messages, navigation, education, and as a pyment tool (e.g., Mobile Money - extensively used in China and Japan [1]). Consequently, mobile devices carry a lot of personal data and, if stolen, that data can be more important than the loss of the device.

Most of the works on mobile devices security have focused on physical aspects and/or access control, which do not protect the private data on a stolen device that is in the post authentication state. However, some existing works, e.g. Laptop Cop [2] aim to protect data on stolen devices by remotely and manually deleting it, which requires user intervention. It may take hours before the user notices the loss of his device.

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References

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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Yazji, S., Dick, R.P., Scheuermann, P., Trajcevski, G. (2012). Efficient Intrusion Detection for Mobile Devices Using Spatio-temporal Mobility Patterns. In: Sénac, P., Ott, M., Seneviratne, A. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 73. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29154-8_35

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  • DOI: https://doi.org/10.1007/978-3-642-29154-8_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29153-1

  • Online ISBN: 978-3-642-29154-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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