Abstract
To obtain precise personalized services in mobile commerce, the users have to disclose their personal information to the operator, which constitutes a potential threat to their privacy security. In this paper, a mobile commerce privacy security risk assessment model is established based on information entropy and Markov chain, and effective security risk measurement, and assessment method is put forward. Our method can provide accurate and quantitative results in assessing privacy disclosure risk to guide the users’ selection of safe mobile commerce applications and protect their privacy security.
Highlights
In the mobile internet age, mobile commerce (m-commerce for short) has gained a high market share by virtue of its portable characteristics, and various precise services like web access, e-shopping, tourism consumption, and near-field payment are rendered to the public
The privacy security risk assessment method proposed in this paper aim to provide a comprehensive method for the accurate and quantitative evaluation of privacy disclosure risk in real risk environment of m-commerce application
The risk factors of user privacy disclosure in mcommerce are reviewed, the magnitude of risks is measured based on information entropy, to provide effective data support for risk assessment
Summary
In the mobile internet age, mobile commerce (m-commerce for short) has gained a high market share by virtue of its portable characteristics, and various precise services like web access, e-shopping, tourism consumption, and near-field payment are rendered to the public. Compared with the traditional information system security risk factors, the risk hierarchy structure of users’ privacy information in m-commerce is more complex These risks include traditional information system security risk, user behavior risk, third-party application risk, and special risks of mcommerce services, like the risk in location-based services in mobile networks [4]. In this paper, various risk factors are comprehensively analyzed by reference to some literature, and a risk indicator system for user private information disclosure in m-commerce is built based on the security model of information system [5]. Wireless Communications and Mobile Computing model is built based on the theories of information entropy and Markov chain, to provide accurate risk assessment results to the users and protect their privacy security in mcommerce.
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