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Software Similarity and Classification

  • Book
  • © 2012

Overview

Authors:
  1. Silvio Cesare

    1. School of Information Technology, Deakin University, Burwood, Australia

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    You can also search for this author in PubMed   Google Scholar

  2. Yang Xiang

    1. School of Information Technology, Deakin University, Burwood, Australia

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • 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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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Introduction

    • Silvio Cesare, Yang Xiang
    Pages 1-6

  3. Taxonomy of Program Features

    • Silvio Cesare, Yang Xiang
    Pages 7-16

  4. Program Transformations and Obfuscations

    • Silvio Cesare, Yang Xiang
    Pages 17-28

  5. Formal Methods of Program Analysis

    • Silvio Cesare, Yang Xiang
    Pages 29-39

  6. Static Analysis of Binaries

    • Silvio Cesare, Yang Xiang
    Pages 41-49

  7. Dynamic Analysis

    • Silvio Cesare, Yang Xiang
    Pages 51-56

  8. Feature Extraction

    • Silvio Cesare, Yang Xiang
    Pages 57-61

  9. Software Birthmark Similarity

    • Silvio Cesare, Yang Xiang
    Pages 63-70

  10. Software Similarity Searching and Classification

    • Silvio Cesare, Yang Xiang
    Pages 71-75

  11. Applications

    • Silvio Cesare, Yang Xiang
    Pages 77-86

  12. Future Trends and Conclusion

    • Silvio Cesare, Yang Xiang
    Pages 87-88
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Keywords

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.

Authors and Affiliations

  • School of Information Technology, Deakin University, Burwood, Australia

    Silvio Cesare, Yang Xiang

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

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