Smartphone Data Protection Using Mobile Usage Pattern Matching

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Author(s): Wen-Chen Hu (University of North Dakota, USA), Naima Kaabouch (University of North Dakota, USA), S. Hossein Mousavinezhad (Idaho State University, USA)and Hung-Jen Yang (National Kaohsiung Normal University, Taiwan)
Copyright: 2012
Pages: 17
Source title: Cyber Security Standards, Practices and Industrial Applications: Systems and Methodologies
Source Author(s)/Editor(s): Junaid Ahmed Zubairi (SUNY at Fredonia, USA)and Athar Mahboob (National University of Sciences & Technology, Pakistan)
DOI: 10.4018/978-1-60960-851-4.ch002

Keywords: Information Science Reference / Information Security & Privacy / IT Security and Ethics / Security & Forensics

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Abstract

Handheld devices like smartphones must include rigorous and convenient handheld data protection in case the devices are lost or stolen. This research proposes a set of novel approaches to protecting handheld data by using mobile usage pattern matching, which compares the current handheld usage pattern to the stored usage patterns. If they are drastic different, a security action such as requiring a password entry is activated. Various algorithms of pattern matching can be used in this research. Two of them are discussed in this chapter: (i) approximate usage string matching and (ii) usage finite automata. The first method uses approximate string matching to check device usage and the second method converts the usage tree into a deterministic finite automaton (DFA). Experimental results show this method is effective and convenient for handheld data protection, but the accuracy may need to be improved.

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