Security Awareness Investigation for Mobile User Examined by Using Association Rule Mining Method
Autor: | Pei-Chi Yeh, Ze-Min Lin, Hsing-Chung Chen, Qiu-Hua Ruan |
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Rok vydání: | 2016 |
Předmět: |
Computer science
business.industry 05 social sciences Internet privacy Mobile computing 050301 education 050801 communication & media studies Mobile Web Security awareness World Wide Web 0508 media and communications mental disorders Mobile payment Mobile search Mobile technology GSM services business 0503 education Mobile device |
Zdroj: | IMIS |
DOI: | 10.1109/imis.2016.142 |
Popis: | Due to the development of mobile communications, some innovation APPs (Applications) provide convenient mobile lifestyle. Smartphone has gradually replaced the traditional cellular phone. The huge usages of smartphones driving the mobile APP have been developed, that the wide use of APPs makes human life more easily. These APPs are not only built-in software, but also sold or free download in online APP stores. User has doubts for unsolicited APPs. Therefore, the smart phone which performs these APPs requires preventing hacker attacks, and the user of smart phone should has some knowledges of information security on when he or she use the kind of APPs. In this paper, the subject of the investigation are the mobile device users who are some university students belonging to different disciplines, grade and gender in Taiwan. We collected total 174 valid questionnaires. Next, the level for mobile security awareness are analyzed by the results collected from questionnaire. The evaluation results of security awareness investigation for the mobile users examined by association rule mining are also revealed in this paper. |
Databáze: | OpenAIRE |
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