Paper Info
Title
Effective and efficient detection of software theft via dynamic API authority vectors
Abstract
We design a novel feature of a program for detecting software theft.We reflect the sequence and the frequency information of a program to our feature.Our proposed method is credible, resilient, and scalable.Our method outperforms existing software theft detection methods in our experiments. Software theft has become a very serious threat to both the software industry and individual software developers. A software birthmark indicates unique characteristics of a program in question, which can be used for analyzing the similarity of a pair of programs and detecting theft. This paper proposes a novel birthmark, a dynamic API authority vector (DAAV). DAAV satisfies four essential requirements for good birthmarkscredibility, resiliency, scalability, and packing-freewhile existing static birthmarks are unable to handle the packed programs and existing dynamic birthmarks do not satisfy credibility and resiliency. Through our extensive experiments with a set of Windows applications, DAAV is shown to have not only the credibility and resiliency higher than the existing dynamic birthmarks but also the accuracy comparable to that of existing static birthmarks. This result indicates that our proposed birthmark provides high accuracy and also covers packed programs successfully in detecting software theft.
Year
DOI
Venue
2015
10.1016/j.jss.2015.08.018
Journal of Systems and Software
Keywords
Field
DocType
Birthmark,Software theft detection,Similarity analysis
Similarity analysis,Credibility,Computer science,Computer security,Software birthmark,Real-time computing,Software,Database,Scalability
Journal
Volume
Issue
ISSN
110
C
0164-1212
Citations 
PageRank 
References 
4
0.53
17
Authors
4
Name
Order
Citations
PageRank
Dong-Kyu Chae15910.07
Sang-Wook Kim2792152.77
Seong-Je Cho312427.85
Yesol Kim4143.36