TY - GEN
T1 - DKISB
T2 - 15th IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 11th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2013
AU - Tian, Zhenzhou
AU - Zheng, Qinghua
AU - Liu, Ting
AU - Fan, Ming
PY - 2014
Y1 - 2014
N2 - With the burst of open source software, software plagiarism has been a serious threat to the healthy development of software industry. Software birthmark reflecting intrinsic properties of software, is an effective way for the detection of software theft. However, most of the existing software birthmarks face a series of challenges: (1) the absence of source code, (2) diversity of operating systems and programing languages, (3) various automated code obfuscation techniques. In this paper, a dynamic key instruction sequence based software birthmark (DKISB) is proposed. By introducing dynamic data flow analysis into birthmark generation, we are able to produce a high quality birthmark that is closely correlated to program semantics, making it resilient to various kinds of semantic-preserving code obfuscation techniques. Based on the Pin instrumentation framework, a DKISB based software plagiarism detection system is implemented, which generates birthmarks for both the plaintiff and defendant program, and then make the plagiarism decision according to the similarity of their birthmarks. The experimental results show that DKISB is effective to either weak obfuscation techniques like compiler optimization or strong obfuscation techniques provided by tools such as Sand Mark.
AB - With the burst of open source software, software plagiarism has been a serious threat to the healthy development of software industry. Software birthmark reflecting intrinsic properties of software, is an effective way for the detection of software theft. However, most of the existing software birthmarks face a series of challenges: (1) the absence of source code, (2) diversity of operating systems and programing languages, (3) various automated code obfuscation techniques. In this paper, a dynamic key instruction sequence based software birthmark (DKISB) is proposed. By introducing dynamic data flow analysis into birthmark generation, we are able to produce a high quality birthmark that is closely correlated to program semantics, making it resilient to various kinds of semantic-preserving code obfuscation techniques. Based on the Pin instrumentation framework, a DKISB based software plagiarism detection system is implemented, which generates birthmarks for both the plaintiff and defendant program, and then make the plagiarism decision according to the similarity of their birthmarks. The experimental results show that DKISB is effective to either weak obfuscation techniques like compiler optimization or strong obfuscation techniques provided by tools such as Sand Mark.
KW - dynamic key instruction sequence
KW - similarity comparison
KW - software birthmark
KW - software plagiarism
UR - https://www.scopus.com/pages/publications/84903975464
U2 - 10.1109/HPCC.and.EUC.2013.93
DO - 10.1109/HPCC.and.EUC.2013.93
M3 - 会议稿件
AN - SCOPUS:84903975464
SN - 9780769550886
T3 - Proceedings - 2013 IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2013
SP - 619
EP - 627
BT - Proceedings - 2013 IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2013
PB - IEEE Computer Society
Y2 - 13 November 2013 through 15 November 2013
ER -