Software Similarity and Classification

Yang Xiang

ISBN 10: 1447129083 / ISBN 13: 9781447129080

Published by Springer London, Springer London Mär 2012, 2012

About this Item

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 104 pp. Englisch.

Seller Inventory # 9781447129080

Bibliographic Details

• Title: Software Similarity and Classification
• Publisher: Springer London, Springer London Mär 2012
• Publication Date: 2012
• Language: English
• ISBN 10: 1447129083
• ISBN 13: 9781447129080
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

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.