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Handheld devices are easily lost because of their small sizes and high mobility. Personal data like addresses and telephone numbers stored in the devices are revealed when the devices are lost or used by unauthorized persons. This research proposes a novel approach for handheld data protection by using handheld usage context matching. The proposed system consists of five components: (i) usage data...
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