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Software similarity and classification is an emerging topic with
wide applications. It is applicable to the areas of malware
detection, software theft detection, plagiarism detection, and
software clone detection. Extracting program features, processing
those features into suitable representations, and constructing
distance metrics to define similarity and dissimilarity are the key
methods to identify software variants, clones, derivatives, and
classes of software. Software Similarity and Classification reviews
the literature of those core concepts, in addition to relevant
literature in each application and demonstrates that considering
these applied problems as a similarity and classification problem
enables techniques to be shared between areas. Additionally, the
authors present in-depth case studies using the software similarity
and classification techniques developed throughout the book.
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Higher
Michael Buble
CD
(1)
R487
Discovery Miles 4 870
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