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Identifying Smartphone Users based on their Activity Patterns via Mobile Sensing
Faculty of Telecom and Information Engineering, University of Engineering and Technology, Taxila, Punjab, Pakistan.
Faculty of Telecom and Information Engineering, University of Engineering and Technology, Taxila, Punjab, Pakistan.
School of Architecture, Computing and Engineering, University of East London, United Kingdom.
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
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2017 (English)In: Procedia Computer Science, / [ed] Elhadi Shakshuki, 2017, Vol. 113, 202-209 p.Conference paper, Published paper (Refereed)
Abstract [en]

Smartphones are ubiquitous devices that enable users to perform many of their routine tasks anytime and anywhere. With the advancement in information technology, smartphones are now equipped with sensing and networking capabilities that provide context-awareness for a wide range of applications. Due to ease of use and access, many users are using smartphones to store their private data, such as personal identifiers and bank account details. This type of sensitive data can be vulnerable if the device gets lost or stolen. The existing methods for securing mobile devices, including passwords, PINs and pattern locks are susceptible to many bouts such as smudge attacks. This paper proposes a novel framework to protect sensitive data on smartphones by identifying smartphone users based on their behavioral traits using smartphone embedded sensors. A series of experiments have been conducted for validating the proposed framework, which demonstrate its effectiveness.

Place, publisher, year, edition, pages
2017. Vol. 113, 202-209 p.
Keyword [en]
Activity Recognition, Behavioral Biometrics, Continuous Sensing, Mobile Device Security, Data Privacy, Mobile Sensing, Ubiquitous Computing, User Identification
National Category
Computer Systems Signal Processing Interaction Technologies
Research subject
Computer and Information Science
Identifiers
URN: urn:nbn:se:umu:diva-139946DOI: 10.1016/j.procs.2017.08.349OAI: oai:DiVA.org:umu-139946DiVA: diva2:1144785
Conference
he 8th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2017), Lund, Sweden
Available from: 2017-09-27 Created: 2017-09-27 Last updated: 2017-09-27

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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