Software similarity and classification

Cesare, Silvio and Xiang, Yang 2012, Software similarity and classification, Springer, Berlin, Germany.

Attached Files
Name Description MIMEType Size Downloads

Title Software similarity and classification
Author(s) Cesare, Silvio
Xiang, Yang
Editor(s) Cesare, Silvio
Xiang, Yang
Publication date 2012
Total pages 88 p.
Publisher Springer
Place of Publication Berlin, Germany
Keyword(s) code clone detection
malware classification
plagiarism detection
software classification
software similarity
software theft detection
Summary 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.
ISBN 1447129091
9781447129097
Language eng
Field of Research 080503 Networking and Communications
Socio Economic Objective 890101 Fixed Line Data Networks and Services
HERDC Research category A1 Books - authored - research
Copyright notice ©2012, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30052602

Document type: Book
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Access Statistics: 56 Abstract Views, 5 File Downloads  -  Detailed Statistics
Created: Fri, 24 May 2013, 11:59:38 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.