The diversity of security requirements demands that information systems flexibly support policies,and uni-form policy description is important to implement policy-flexible system. This paper brings up new method to de...
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The diversity of security requirements demands that information systems flexibly support policies,and uni-form policy description is important to implement policy-flexible system. This paper brings up new method to descriptpolicies based on trace, which can be applied to many policies used currently. Subsequently this paper refines thismethod in order to be applicable to actual system ,and discusses how to merge multiple policies.
User adaptation is a critical and important problem. For users' specialization, such as Handwriting, Voice,Drawing Styles, the system is hard to adapt to all users. SVM-based incremental learning can find the most...
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User adaptation is a critical and important problem. For users' specialization, such as Handwriting, Voice,Drawing Styles, the system is hard to adapt to all users. SVM-based incremental learning can find the most basic fea-ture of different users and cast away the special user's character, so this method can adapt the different users withoutover fitting. In this paper, the repetitive learning strategy and other two incremental learning algorithms are presentedfor comparison. Based on theoretical analysis and experimental results, we draw the conclusion that SVM-based incre-mental learning can solve the user conflict problem.
With the development of e-commerce, people are attaching more importance to biometrics authenticationtechniques. Dynamic handwritten signature verification is an effective one. This paper introduces the basic process ...
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With the development of e-commerce, people are attaching more importance to biometrics authenticationtechniques. Dynamic handwritten signature verification is an effective one. This paper introduces the basic process ofdynamic handwritten signature verification, some algorithms in use and performance evaluation.
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