Software Similarity and Classification

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,...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Cesare, Silvio (Συγγραφέας), Xiang, Yang (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London, 2012.
Σειρά:SpringerBriefs in Computer Science,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02872nam a22004935i 4500
001 978-1-4471-2909-7
003 DE-He213
005 20151031111101.0
007 cr nn 008mamaa
008 120302s2012 xxk| s |||| 0|eng d
020 |a 9781447129097  |9 978-1-4471-2909-7 
024 7 |a 10.1007/978-1-4471-2909-7  |2 doi 
040 |d GrThAP 
050 4 |a QA76.9.A25 
072 7 |a UR  |2 bicssc 
072 7 |a UTN  |2 bicssc 
072 7 |a COM053000  |2 bisacsh 
082 0 4 |a 005.8  |2 23 
100 1 |a Cesare, Silvio.  |e author. 
245 1 0 |a Software Similarity and Classification  |h [electronic resource] /  |c by Silvio Cesare, Yang Xiang. 
264 1 |a London :  |b Springer London,  |c 2012. 
300 |a XIV, 88 p. 26 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a SpringerBriefs in Computer Science,  |x 2191-5768 
505 0 |a 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. 
520 |a 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. 
650 0 |a Computer science. 
650 0 |a Computer security. 
650 0 |a Computers. 
650 0 |a Law and legislation. 
650 1 4 |a Computer Science. 
650 2 4 |a Systems and Data Security. 
650 2 4 |a Legal Aspects of Computing. 
700 1 |a Xiang, Yang.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781447129080 
830 0 |a SpringerBriefs in Computer Science,  |x 2191-5768 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4471-2909-7  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)