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With the rapid growth in the number of mobile phone users, mobile payments have become an important part of mobile e-commerce applications. Secure payment systems directly affect the security of e-commerce systems. This study proposes an anomaly detection mechanism supported by an information entropy method combined with neural network to improve mobile payments security. As the entropy value is sensitive...
With the rapid growth in the number of mobile phone users, mobile payments have become an important part of mobile e-commerce applications. Secure payment systems directly affect the security of e-commerce systems. This paper proposes an anomaly detection mechanism supported by an information entropy method to improve mobile payments security. The simulation result shows that it can realize the effective...
Some disadvantages should be discussed deeply for the current reduction algorithms. To eliminate these limitations of classical algorithms based on positive region and conditional information entropy, a new conditional entropy, which could reflect the change of decision ability objectively, was defined with separating consistent objects form inconsistent objects. To select optimal attribute reduction,...
The disadvantages of the recent reduction algorithms are analyzed deeply. A new measure to knowledge and rough set is introduced to discuss the rough entropy of knowledge and the roughness of rough set. Based on this entropy, the new significance of attribute is defined and a heuristic algorithm of knowledge reduction is proposed and compared with two methods of attribute reduction which are based...
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