Revisiting the Challenges and Opportunities in Software Plagiarism Detection

Xi Xu; Ming Fan; Ang Jia; Yin Wang; Zheng Yan; Qinghua Zheng; Ting Liu

doi:10.1109/SANER48275.2020.9054847

Revisiting the Challenges and Opportunities in Software Plagiarism Detection

Xi Xu, Ming Fan, Ang Jia, Yin Wang, Zheng Yan, Qinghua Zheng, Ting Liu

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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Abstract

Software plagiarism seriously impedes the healthy development of open source software. To fight against code obfuscation and inherent non-determinism of thread scheduling applied against software plagiarism detection, we proposed a new dynamic birthmark called DYnamic Key Instruction Sequence (DYKIS) and a framework called Thread-oblivious dynamic Birthmark (TOB) for the purpose of reviving the existing birthmarks and a thread-aware dynamic birthmark called Thread-related System call Birthmark (TreSB). Though many approaches have been proposed for software plagiarism detection, they are still limited to satisfy the following highly desired requirements: the applicability to handle binary, the capability to detect partial plagiarism, the resiliency to code obfuscation, the interpretability on detection results, and the scalability to process large-scale software. In this position paper, we discuss and outline the research opportunities and challenges in the field of software plagiarism detection in order to stimulate brilliant innovations and direct our future research efforts.

Original language	English
Title of host publication	SANER 2020 - Proceedings of the 2020 IEEE 27th International Conference on Software Analysis, Evolution, and Reengineering
Editors	Kostas Kontogiannis, Foutse Khomh, Alexander Chatzigeorgiou, Marios-Eleftherios Fokaefs, Minghui Zhou
Publisher	IEEE
Pages	537-541
Number of pages	5
ISBN (Electronic)	9781728151434
DOIs	https://doi.org/10.1109/SANER48275.2020.9054847
Publication status	Published - Feb 2020
MoE publication type	A4 Conference publication
Event	IEEE International Conference on Software Analysis, Evolution, and Reengineering - London, Canada Duration: 18 Feb 2020 → 21 Feb 2020 Conference number: 27

Conference

Conference	IEEE International Conference on Software Analysis, Evolution, and Reengineering
Abbreviated title	SANER
Country/Territory	Canada
City	London
Period	18/02/2020 → 21/02/2020

Keywords

binary code similarity
software birthmark
software plagiarism detection
source code similarity

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Xu_Revisiting_the_challenge_and_opportunities_SANERAccepted author manuscript, 143 KB

Cite this

Xu, X., Fan, M., Jia, A., Wang, Y., Yan, Z., Zheng, Q., & Liu, T. (2020). Revisiting the Challenges and Opportunities in Software Plagiarism Detection. In K. Kontogiannis, F. Khomh, A. Chatzigeorgiou, M.-E. Fokaefs, & M. Zhou (Eds.), SANER 2020 - Proceedings of the 2020 IEEE 27th International Conference on Software Analysis, Evolution, and Reengineering (pp. 537-541). Article 9054847 IEEE. https://doi.org/10.1109/SANER48275.2020.9054847

Xu, Xi ; Fan, Ming ; Jia, Ang et al. / Revisiting the Challenges and Opportunities in Software Plagiarism Detection. SANER 2020 - Proceedings of the 2020 IEEE 27th International Conference on Software Analysis, Evolution, and Reengineering. editor / Kostas Kontogiannis ; Foutse Khomh ; Alexander Chatzigeorgiou ; Marios-Eleftherios Fokaefs ; Minghui Zhou. IEEE, 2020. pp. 537-541

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title = "Revisiting the Challenges and Opportunities in Software Plagiarism Detection",

abstract = "Software plagiarism seriously impedes the healthy development of open source software. To fight against code obfuscation and inherent non-determinism of thread scheduling applied against software plagiarism detection, we proposed a new dynamic birthmark called DYnamic Key Instruction Sequence (DYKIS) and a framework called Thread-oblivious dynamic Birthmark (TOB) for the purpose of reviving the existing birthmarks and a thread-aware dynamic birthmark called Thread-related System call Birthmark (TreSB). Though many approaches have been proposed for software plagiarism detection, they are still limited to satisfy the following highly desired requirements: the applicability to handle binary, the capability to detect partial plagiarism, the resiliency to code obfuscation, the interpretability on detection results, and the scalability to process large-scale software. In this position paper, we discuss and outline the research opportunities and challenges in the field of software plagiarism detection in order to stimulate brilliant innovations and direct our future research efforts.",

keywords = "binary code similarity, software birthmark, software plagiarism detection, source code similarity",

author = "Xi Xu and Ming Fan and Ang Jia and Yin Wang and Zheng Yan and Qinghua Zheng and Ting Liu",

year = "2020",

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doi = "10.1109/SANER48275.2020.9054847",

language = "English",

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editor = "Kostas Kontogiannis and Foutse Khomh and Alexander Chatzigeorgiou and Marios-Eleftherios Fokaefs and Minghui Zhou",

booktitle = "SANER 2020 - Proceedings of the 2020 IEEE 27th International Conference on Software Analysis, Evolution, and Reengineering",

publisher = "IEEE",

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note = "IEEE International Conference on Software Analysis, Evolution, and Reengineering, SANER ; Conference date: 18-02-2020 Through 21-02-2020",

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Xu, X, Fan, M, Jia, A, Wang, Y, Yan, Z, Zheng, Q & Liu, T 2020, Revisiting the Challenges and Opportunities in Software Plagiarism Detection. in K Kontogiannis, F Khomh, A Chatzigeorgiou, M-E Fokaefs & M Zhou (eds), SANER 2020 - Proceedings of the 2020 IEEE 27th International Conference on Software Analysis, Evolution, and Reengineering., 9054847, IEEE, pp. 537-541, IEEE International Conference on Software Analysis, Evolution, and Reengineering, London, Canada, 18/02/2020. https://doi.org/10.1109/SANER48275.2020.9054847

Revisiting the Challenges and Opportunities in Software Plagiarism Detection. / Xu, Xi; Fan, Ming; Jia, Ang et al.
SANER 2020 - Proceedings of the 2020 IEEE 27th International Conference on Software Analysis, Evolution, and Reengineering. ed. / Kostas Kontogiannis; Foutse Khomh; Alexander Chatzigeorgiou; Marios-Eleftherios Fokaefs; Minghui Zhou. IEEE, 2020. p. 537-541 9054847.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - Revisiting the Challenges and Opportunities in Software Plagiarism Detection

AU - Xu, Xi

AU - Fan, Ming

AU - Jia, Ang

AU - Wang, Yin

AU - Yan, Zheng

AU - Zheng, Qinghua

AU - Liu, Ting

N1 - Conference code: 27

PY - 2020/2

Y1 - 2020/2

N2 - Software plagiarism seriously impedes the healthy development of open source software. To fight against code obfuscation and inherent non-determinism of thread scheduling applied against software plagiarism detection, we proposed a new dynamic birthmark called DYnamic Key Instruction Sequence (DYKIS) and a framework called Thread-oblivious dynamic Birthmark (TOB) for the purpose of reviving the existing birthmarks and a thread-aware dynamic birthmark called Thread-related System call Birthmark (TreSB). Though many approaches have been proposed for software plagiarism detection, they are still limited to satisfy the following highly desired requirements: the applicability to handle binary, the capability to detect partial plagiarism, the resiliency to code obfuscation, the interpretability on detection results, and the scalability to process large-scale software. In this position paper, we discuss and outline the research opportunities and challenges in the field of software plagiarism detection in order to stimulate brilliant innovations and direct our future research efforts.

AB - Software plagiarism seriously impedes the healthy development of open source software. To fight against code obfuscation and inherent non-determinism of thread scheduling applied against software plagiarism detection, we proposed a new dynamic birthmark called DYnamic Key Instruction Sequence (DYKIS) and a framework called Thread-oblivious dynamic Birthmark (TOB) for the purpose of reviving the existing birthmarks and a thread-aware dynamic birthmark called Thread-related System call Birthmark (TreSB). Though many approaches have been proposed for software plagiarism detection, they are still limited to satisfy the following highly desired requirements: the applicability to handle binary, the capability to detect partial plagiarism, the resiliency to code obfuscation, the interpretability on detection results, and the scalability to process large-scale software. In this position paper, we discuss and outline the research opportunities and challenges in the field of software plagiarism detection in order to stimulate brilliant innovations and direct our future research efforts.

KW - binary code similarity

KW - software birthmark

KW - software plagiarism detection

KW - source code similarity

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U2 - 10.1109/SANER48275.2020.9054847

DO - 10.1109/SANER48275.2020.9054847

M3 - Conference article in proceedings

SP - 537

EP - 541

BT - SANER 2020 - Proceedings of the 2020 IEEE 27th International Conference on Software Analysis, Evolution, and Reengineering

A2 - Kontogiannis, Kostas

A2 - Khomh, Foutse

A2 - Chatzigeorgiou, Alexander

A2 - Fokaefs, Marios-Eleftherios

A2 - Zhou, Minghui

PB - IEEE

T2 - IEEE International Conference on Software Analysis, Evolution, and Reengineering

Y2 - 18 February 2020 through 21 February 2020

ER -

Xu X, Fan M, Jia A, Wang Y, Yan Z, Zheng Q et al. Revisiting the Challenges and Opportunities in Software Plagiarism Detection. In Kontogiannis K, Khomh F, Chatzigeorgiou A, Fokaefs ME, Zhou M, editors, SANER 2020 - Proceedings of the 2020 IEEE 27th International Conference on Software Analysis, Evolution, and Reengineering. IEEE. 2020. p. 537-541. 9054847 doi: 10.1109/SANER48275.2020.9054847

Revisiting the Challenges and Opportunities in Software Plagiarism Detection

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