Software similarity and classification

Cesare, Silvio and Xiang, Yang 2012, Software similarity and classification. Edited by Cesare, Silvio and Xiang, Yang, Springer, Berlin, Germany, doi: 10.1007/978-1-4471-2909-7.

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Title Software similarity and classification
Author(s) Cesare, Silvio
Xiang, YangORCID iD for Xiang, Yang
Editor(s) Cesare, Silvio
Xiang, Yang
Publication date 2012
Total pages 88 p.
Publisher Springer
Place of Publication Berlin, Germany
Keyword(s) code clone detection
malware classification
plagiarism detection
software classification
software similarity
software theft detection
Summary 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.
ISBN 1447129091
Language eng
DOI 10.1007/978-1-4471-2909-7
Field of Research 080503 Networking and Communications
Socio Economic Objective 890101 Fixed Line Data Networks and Services
HERDC Research category A1 Books - authored - research
Copyright notice ©2012, Springer
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Document type: Book
Collections: School of Information Technology
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