Overview
- The first book to construct a theory to describe the problems in software similarity and classification
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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About this book
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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Keywords
Table of contents (11 chapters)
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Front Matter
Authors and Affiliations
Bibliographic Information
Book Title: Software Similarity and Classification
Authors: Silvio Cesare, Yang Xiang
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-1-4471-2909-7
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2012
Softcover ISBN: 978-1-4471-2908-0Published: 14 March 2012
eBook ISBN: 978-1-4471-2909-7Published: 05 March 2012
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: XIV, 88
Number of Illustrations: 26 b/w illustrations
Topics: Systems and Data Security, Legal Aspects of Computing