Efficient intrusion detection for mobile devices using spatio-temporal mobility patterns

Sausan Yazji; Robert P. Dick; Peter I Scheuermann; Goce Trajcevski

doi:10.1007/978-3-642-29154-8_35

Efficient intrusion detection for mobile devices using spatio-temporal mobility patterns

Sausan Yazji, Robert P. Dick, Peter I Scheuermann, Goce Trajcevski

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Mobile and Ubiquitous Systems
Subtitle of host publication	Computing, Networking, and Services - 7th International ICST Conference, MobiQuitous 2010, Revised Selected Papers
Publisher	Springer Verlag
Pages	342-343
Number of pages	2
ISBN (Print)	9783642291531
DOIs	https://doi.org/10.1007/978-3-642-29154-8_35
State	Published - 2012
Event	7th International ICST Conference on Mobile and Ubiquitous Systems, MobiQuitous 2010 - Sydney, NSW, Australia Duration: Dec 6 2010 → Dec 9 2010

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	73 LNICST
ISSN (Print)	1867-8211

Other

Other	7th International ICST Conference on Mobile and Ubiquitous Systems, MobiQuitous 2010
Country/Territory	Australia
City	Sydney, NSW
Period	12/6/10 → 12/9/10

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1007/978-3-642-29154-8_35

Cite this

Yazji, S., Dick, R. P., Scheuermann, P. I., & Trajcevski, G. (2012). Efficient intrusion detection for mobile devices using spatio-temporal mobility patterns. In Mobile and Ubiquitous Systems: Computing, Networking, and Services - 7th International ICST Conference, MobiQuitous 2010, Revised Selected Papers (pp. 342-343). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 73 LNICST). Springer Verlag. https://doi.org/10.1007/978-3-642-29154-8_35

Yazji, Sausan ; Dick, Robert P. ; Scheuermann, Peter I et al. / Efficient intrusion detection for mobile devices using spatio-temporal mobility patterns. Mobile and Ubiquitous Systems: Computing, Networking, and Services - 7th International ICST Conference, MobiQuitous 2010, Revised Selected Papers. Springer Verlag, 2012. pp. 342-343 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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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.",

author = "Sausan Yazji and Dick, {Robert P.} and Scheuermann, {Peter I} and Goce Trajcevski",

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Yazji, S, Dick, RP, Scheuermann, PI & Trajcevski, G 2012, Efficient intrusion detection for mobile devices using spatio-temporal mobility patterns. in Mobile and Ubiquitous Systems: Computing, Networking, and Services - 7th International ICST Conference, MobiQuitous 2010, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 73 LNICST, Springer Verlag, pp. 342-343, 7th International ICST Conference on Mobile and Ubiquitous Systems, MobiQuitous 2010, Sydney, NSW, Australia, 12/6/10. https://doi.org/10.1007/978-3-642-29154-8_35

Efficient intrusion detection for mobile devices using spatio-temporal mobility patterns. / Yazji, Sausan; Dick, Robert P.; Scheuermann, Peter I et al.
Mobile and Ubiquitous Systems: Computing, Networking, and Services - 7th International ICST Conference, MobiQuitous 2010, Revised Selected Papers. Springer Verlag, 2012. p. 342-343 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 73 LNICST).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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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Yazji S, Dick RP, Scheuermann PI, Trajcevski G. Efficient intrusion detection for mobile devices using spatio-temporal mobility patterns. In Mobile and Ubiquitous Systems: Computing, Networking, and Services - 7th International ICST Conference, MobiQuitous 2010, Revised Selected Papers. Springer Verlag. 2012. p. 342-343. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-642-29154-8_35

Efficient intrusion detection for mobile devices using spatio-temporal mobility patterns

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ASJC Scopus subject areas

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