Software Similarity and Classification

  • Silvio Cesare
  • Yang Xiang

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Silvio Cesare, Yang Xiang
    Pages 1-6
  3. Silvio Cesare, Yang Xiang
    Pages 7-16
  4. Silvio Cesare, Yang Xiang
    Pages 17-28
  5. Silvio Cesare, Yang Xiang
    Pages 29-39
  6. Silvio Cesare, Yang Xiang
    Pages 41-49
  7. Silvio Cesare, Yang Xiang
    Pages 51-56
  8. Silvio Cesare, Yang Xiang
    Pages 57-61
  9. Silvio Cesare, Yang Xiang
    Pages 63-70
  10. Silvio Cesare, Yang Xiang
    Pages 71-75
  11. Silvio Cesare, Yang Xiang
    Pages 77-86
  12. Silvio Cesare, Yang Xiang
    Pages 87-88

About this book

Introduction

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.

Keywords

Code Clone Detection Malware Classification Plagiarism Detection Software Classification Software Similarity Software Theft Detection

Authors and affiliations

  • Silvio Cesare
    • 1
  • Yang Xiang
    • 2
  1. 1.School of Information TechnologyDeakin UniversityBurwoodAustralia
  2. 2.School of Information TechnologyDeakin UniversityBurwoodAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-2909-7
  • Copyright Information The Author(s) 2012
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-4471-2908-0
  • Online ISBN 978-1-4471-2909-7
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • About this book