http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
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.
Preface -- Acknowledgements -- Introduction -- Taxonomy of Program Features -- Program Transformations and Obfuscations -- Formal Methods of Program Analysis -- Static Analysis of Binaries -- Dynamic Analysis -- Feature Extraction -- Software Birthmark Similarity -- Software Similarity Searching and Classification -- Applications -- Future Trends and Conclusion.