Handheld Usage Data Mining for Handheld Data Protection

Authors

  • Wen-Chen Hu University of North Dakota
  • Naima Kaabouch University of North Dakota
  • Lei Chen Sam Houston State University
  • Hung-Jen Yang National Kaohsiung Normal University

DOI:

https://doi.org/10.7903/cmr.3845

Abstract

Mobile handheld devices such as smart cellular phones are easily lost or stolen because of their small sizes and high mobility. Personal data such as addresses and messages stored in the devices may be revealed when the devices are lost. Handheld devices must include rigorous and convenient handheld data protection in case the devices are lost or stolen. This research proposes a novel approach for handheld data protection by using handheld usage data mining, which consists of five steps: (i) usage data gathering, (ii) usage data preparation, (iii) usage pattern discovery, (iv) usage pattern analysis and visualization, and (v) usage pattern applications. Handheld usage data is collected before applying this method. Usage patterns are discovered and saved by using finite automaton, which is then used to check device usage. When an unusual usage pattern such as an unlawful user trying to access the handheld data is detected, the device will automatically lock itself down until an action, such as entering a password, is taken. Experimental results show this method is effective and convenient for handheld data protection. Keywords: Handheld Security, Mobile Handheld Devices, Smartphones, Data Mining, Usage Mining, Usage Pattern Discovery, and Identification To cite this document: Wen-Chen Hu, Naima Kaabouch, Lei Chen, and Hung-Jen Yang, "Handheld Usage Data Mining for Handheld Data Protection", Contemporary Management Research, Vol. 9, No. 2, pp.93-108, 2013. Permanent link to this document http://dx.doi.org/10.7903/cmr.3845

Author Biography

Wen-Chen Hu, University of North Dakota

Wen-Chen Hu received a BE, an ME, an MS, and a PhD all in Computer Science from the Tamkang Univeristy, Taiwan, the National Central University, Taiwan, the University of Iowa, Iowa City, and the University of Florida, Gainesville in 1984, 1986, 1993, and 1998, respectively. He is currently an assistant professor in the Department of Computer Science at the University of North Dakota. Dr. Hu has been advising more than 40 graduate students and has published over 50 articles on refereed journals, conferences, books, and encyclopedias, and edited one book titled Advances in Security and Payment Methods for Mobile Commerce. His current research interests are in handheld computing, electronic and mobile commerce systems, Web technologies, and databases. He is a member of IEEE Computer Society and ACM (Association for Computing Machinery).

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Published

2013-06-30

How to Cite

Hu, W.-C., Kaabouch, N., Chen, L., & Yang, H.-J. (2013). Handheld Usage Data Mining for Handheld Data Protection. Contemporary Management Research, 9(2). https://doi.org/10.7903/cmr.3845

Issue

Section

Management Information Systems

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