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DOE OSTI · 984866

The Analysis of Dimensionality Reduction Techniques in Cryptographic Object Code Classification

Wright, Jason L·Manic, Milos
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Abstract

This paper compares the application of three different dimension reduction techniques to the problem of locating cryptography in compiled object code. A simple classi?er is used to compare dimension reduction via sorted covariance, principal component analysis, and correlation-based feature subset selection. The analysis concentrates on the classi?cation accuracy as the number of dimensions is increased.

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97 MATHEMATICS AND COMPUTINGACCURACYCFSCLASSIFICATIONcorrelation-based feature subset selectioncovariancecryptographydimension reductionDIMENSIONSPCAprincipal components analysis

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BibTeXRIS

Wright, Jason L, Manic, Milos. 2010-05-01. The Analysis of Dimensionality Reduction Techniques in Cryptographic Object Code Classification. https://www.osti.gov/biblio/984866

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