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Achieving accuracy and scalability simultaneously in detecting application clones on Android markets
Abstract
Besides traditional problems such as potential bugs, (smartphone) application clones on Android markets bring new threats. That is, attackers clone the code from legitimate Android applications, assemble it with malicious code or advertisements, and publish these ``purpose-added" app clones on the same or other markets for benefits. Three inherent and unique characteristics make app clones difficult to detect by existing techniques: a billion opcode problem caused by cross-market publishing, gap between code clones and app clones, and prevalent Type 2 and Type 3 clones.
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Schleimer, S., S, W. D., & Aiken, A. (2003) · Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data · doi:10.1145/872757.872770 · Cited by 1,099 · cited 1×
“Token-based approaches [40, 28, 29, 22] parse a program to a sequence of tokens and compare these tokens to find clones.”
BackgroundGPLAG: detection of software plagiarism by program dependence graph analysis
Liu, C., Chen, C., Han, J., & Yu, P. S. (2006) · Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/1150402.1150522 · Cited by 422
Research works printed but not linked: 42
- B. Baker . A program for identifying duplicated code . Computing Science and Statistics , pages 49– 49 , 1993 . B. Baker. A program for identifying duplicated code. Computing Science and Statistics, pages 49–49, 1993.
- B. S. Baker . On finding duplication and near-duplication in large software systems . In Reverse Engineering , 1995 ., pages 86– 95 . IEEE, 1995. B. S. Baker. On finding duplication and near-duplication in large software systems. In Reverse Engineering, 1995., pages 86–95. IEEE, 1995.
- I. Baxter , A. Yahin , L. Moura , M. Sant’Anna , and L. Bier . Clone detection using abstract syntax trees. In icsm , pages 368– 377 , 1998 . I. Baxter, A. Yahin, L. Moura, M. Sant’Anna, and L. Bier. Clone detection using abstract syntax trees. In icsm, pages 368–377, 1998.
- I. D. Baxter , C. Pidgeon , and M. Mehlich . Dms R : Program transformations for practical scalable software evolution . In Proceedings of the 26th International Conference on Software Engineering , pages 625– 634 . IEEE Computer Society, 2004. I. D. Baxter, C. Pidgeon, and M. Mehlich. Dms R : Program transformations for practical scalable software evolution. In Proceedings of the 26th International Conference on Software Engineering, pages 625–634. IEEE Computer Society, 2004.
- J. Crussell , C. Gibler , and H. Chen . Attack of the clones: Detecting cloned applications on android markets. Computer Security–ESORICS 2012 , pages 37– 54 , 2012. J. Crussell, C. Gibler, and H. Chen. Attack of the clones: Detecting cloned applications on android markets. Computer Security–ESORICS 2012, pages 37–54, 2012.
- 10.1007/978-3-642-40203-6_11 · DOI
- Dangle. Dangle. http://android.d.cn , 2013 . Dangle. Dangle. http://android.d.cn, 2013.
- 10.1145/24039.24041 · DOI · Paper page
- 10.1145/1368088.1368132 · DOI · Paper page
- 10.1145/1932682.1869475 · DOI
- 10.1145/2462456.2464461 · DOI
- Google. Google play. https://play.google.com/store , 2013 . Google. Google play. https://play.google.com/store, 2013.
- 10.1007/978-3-642-37300-8_4 · DOI
- 10.1145/322033.322044 · DOI · Paper page
- 10.1145/1985793.1985899 · DOI · Paper page
- 10.1109/ICSE.2007.30 · DOI · Paper page
- 10.1109/ICSE.2009.5070547 · DOI · Paper page
- 10.1109/TSE.2002.1019480 · DOI · Paper page
- 10.1145/1985793.1985835 · DOI
- 10.1007/11424925_2 · DOI
- 10.5555/647170.718283 · doi:10.5555/647170.718283
- 10.1145/1882291.1882317 · doi:10.1145/1882291.1882317
- J. Li and M. D. Ernst . Cbcd: Cloned buggy code detector . In Software Engineering (ICSE), 2012 34th International Conference on , pages 310– 320 . IEEE, 2012. J. Li and M. D. Ernst. Cbcd: Cloned buggy code detector. In Software Engineering (ICSE), 2012 34th International Conference on, pages 310–320. IEEE, 2012.
- Z. Li , S. Lu , S. Myagmar , and Y. Zhou . Cp-miner: A tool for finding copy-paste and related bugs in operating system code . In Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation , volume 6 , pages 20–– 20 , 2004 . Z. Li, S. Lu, S. Myagmar, and Y. Zhou. Cp-miner: A tool for finding copy-paste and related bugs in operating system code. In Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation, volume 6, pages 20––20, 2004.
- 10.1109/TSE.2006.28 · DOI · Paper page
- 10.1016/j.infsof.2009.04.011 · DOI
- C. McMillan , M. Grechanik , and D. Poshyvanyk . Detecting similar software applications . In Software Engineering (ICSE), 2012 34th International Conference on , pages 364– 374 . IEEE, 2012. C. McMillan, M. Grechanik, and D. Poshyvanyk. Detecting similar software applications. In Software Engineering (ICSE), 2012 34th International Conference on, pages 364–374. IEEE, 2012.
- G. Myles and C. Collberg . Detecting software theft via whole program path birthmarks. Information security , pages 404– 415 , 2004 . G. Myles and C. Collberg. Detecting software theft via whole program path birthmarks. Information security, pages 404–415, 2004.
- 10.1145/1066677.1066753 · DOI
- 10.1145/2393596.2393600 · doi:10.1145/2393596.2393600
- 10.1145/1858996.1859089 · DOI
- C. Roy and J. Cordy . A survey on software clone detection research. Technical report , Queen’s School of Computing TR , 2007 . C. Roy and J. Cordy. A survey on software clone detection research. Technical report, Queen’s School of Computing TR, 2007.
- 10.1145/1321631.1321672 · DOI
- H. Tamada , M. Nakamura , A. Monden , and K.-i. Matsumoto . Design and evaluation of birthmarks for detecting theft of java programs . In Proc. IASTED International Conference on Software Engineering (IASTED SE 2004 ), pages 569– 575 , 2004 . H. Tamada, M. Nakamura, A. Monden, and K.-i. Matsumoto. Design and evaluation of birthmarks for detecting theft of java programs. In Proc. IASTED International Conference on Software Engineering (IASTED SE 2004), pages 569–575, 2004.
- H. Tamada , K. Okamoto , M. Nakamura , A. Monden , and K.-i. Matsumoto . Dynamic software birthmarks to detect the theft of windows applications . In International Symposium on Future Software Technology , volume 2004 , 2004 . H. Tamada, K. Okamoto, M. Nakamura, A. Monden, and K.-i. Matsumoto. Dynamic software birthmarks to detect the theft of windows applications. In International Symposium on Future Software Technology, volume 2004, 2004.
- N. Truong , P. Roe , and P. Bancroft . Static analysis of students’ java programs . In Proceedings of the Sixth Australasian Conference on Computing Education-Volume 30 , pages 317– 325 . Australian Computer Society, Inc., 2004. N. Truong, P. Roe, and P. Bancroft. Static analysis of students’ java programs. In Proceedings of the Sixth Australasian Conference on Computing Education-Volume 30, pages 317–325. Australian Computer Society, Inc., 2004.
- 10.1145/1653662.1653696 · DOI · Paper page
- 10.1002/spe.4380210706 · DOI · Paper page
- 10.1145/2338965.2336767 · DOI
- 10.1145/2435349.2435377 · DOI
- 10.1145/2133601.2133640 · DOI · Paper page
- 10.1109/SP.2012.16 · DOI · Paper page
Cited by
Towards a Big Data Curated Benchmark of Inter-project Code Clones
Svajlenko, J., Islam, J. F., Keivanloo, I., Roy, C. K., & Mia, M. M. (2014) · 2014 IEEE International Conference on Software Maintenance and Evolution · doi:10.1109/icsme.2014.77 · Cited by 339
Deep learning similarities from different representations of source code
Tufano, M., Watson, C., Bavota, G., Di Penta, M., White, M., & Poshyvanyk, D. (2018) · Proceedings of the 15th International Conference on Mining Software Repositories · doi:10.1145/3196398.3196431 · Cited by 158
Luo, L., Ming, J., Wu, D., Liu, P., & Zhu, S. (2017) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2017.2655046 · Cited by 144
Self-citationA comparison of code similarity analysers
Ragkhitwetsagul, C., Krinke, J., & Clark, D. (2018) · Empirical Software Engineering · doi:10.1007/s10664-017-9564-7 · Cited by 122
On automatically detecting similar Android apps
Linares-Vasquez, M., Holtzhauer, A., & Poshyvanyk, D. (2016) · 2016 IEEE 24th International Conference on Program Comprehension (ICPC) · doi:10.1109/icpc.2016.7503721 · Cited by 43
Metadata
- Authors
- Chen, K., Liu, P., & Zhang, Y.
- Venue
- Proceedings of the 36th International Conference on Software Engineering
- Publisher
- ACM
- Published
- 2014-05-31
- Pages
- 175-186
- ISSN
- 0270-5257 (ISSN-L)
- OpenAlex
- W2088479623
- Cited by
- 287
- References
- 2
- FWCI
- 29.65
- Type
- conference paper
- Language
- en
- Open access
- closed
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