Software Similarity and Classification

Front Cover
Springer Science & Business Media, Mar 5, 2012 - Computers - 88 pages
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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Contents

1 Introduction
1
2 Taxonomy of Program Features
7
3 Program Transformations and Obfuscations
17
4 Formal Methods of Program Analysis
29
5 Static Analysis of Binaries
40
6 Dynamic Analysis
51
7 Feature Extraction
57
8 Software Birthmark Similarity
62
9 Software Similarity Searching and Classification
71
10 Applications
77
11 Future Trends and Conclusion
87
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