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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...
In this paper, an approach for estimating the number of emitters from a set of interleaved pulses trains is proposed. The approach is based on the application of information theoretic criterion, which is formulated by using a new model of eigenvalues from principal component analysis (PCA) of pulse envelope vectors. In this model, the logarithm likelihood function is obtained by clustering the eigenvalues...
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