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In this paper, we propose a polymorphic viruses detection method based on support vector machine (SVM) in the Windows platform. Our approach rests on an analysis using the Windows API calling sequence that reflects the behavior of a particular piece of code. By extracting the variable-length system calling sequence or patterns in system calling sequence as the SVM training data and employing the ReliefF...
In this paper, a polymorphic viruses detection method based on neural network ensemble in the Windows platform is proposed. Our approach rests on an analysis using the Windows API calling sequence that reflects the behavior of a particular piece of code. Firstly, the system calling sequence of a program is extracted as eigenvector, and then bootstrap sampling is employed to generate several training...
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