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Review

Authorship Attribution Methods, Challenges, and Future Research Directions: A Comprehensive Survey

by
Xie He
1,
Arash Habibi Lashkari
1,*,
Nikhill Vombatkere
1 and
Dilli Prasad Sharma
2
1
Behaviour-Centric Cybersecurity Center (BCCC), School of Information Technology, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada
2
The Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto, 10 King’s College Road, Toronto, ON M5S 3G4, Canada
*
Author to whom correspondence should be addressed.
Information 2024, 15(3), 131; https://doi.org/10.3390/info15030131
Submission received: 2 February 2024 / Revised: 19 February 2024 / Accepted: 23 February 2024 / Published: 28 February 2024

Abstract

Over the past few decades, researchers have put their effort and paid significant attention to the authorship attribution field, as it plays an important role in software forensics analysis, plagiarism detection, security attack detection, and protection of trade secrets, patent claims, copyright infringement, or cases of software theft. It helps new researchers understand the state-of-the-art works on authorship attribution methods, identify and examine the emerging methods for authorship attribution, and discuss their key concepts, associated challenges, and potential future work that could help newcomers in this field. This paper comprehensively surveys authorship attribution methods and their key classifications, used feature types, available datasets, model evaluation criteria and metrics, and challenges and limitations. In addition, we discuss the potential future research directions of the authorship attribution field based on the insights and lessons learned from this survey work.
Keywords: authorship attribution; authorship verification; author profiling; source code analysis authorship attribution; authorship verification; author profiling; source code analysis

Share and Cite

MDPI and ACS Style

He, X.; Lashkari, A.H.; Vombatkere, N.; Sharma, D.P. Authorship Attribution Methods, Challenges, and Future Research Directions: A Comprehensive Survey. Information 2024, 15, 131. https://doi.org/10.3390/info15030131

AMA Style

He X, Lashkari AH, Vombatkere N, Sharma DP. Authorship Attribution Methods, Challenges, and Future Research Directions: A Comprehensive Survey. Information. 2024; 15(3):131. https://doi.org/10.3390/info15030131

Chicago/Turabian Style

He, Xie, Arash Habibi Lashkari, Nikhill Vombatkere, and Dilli Prasad Sharma. 2024. "Authorship Attribution Methods, Challenges, and Future Research Directions: A Comprehensive Survey" Information 15, no. 3: 131. https://doi.org/10.3390/info15030131

APA Style

He, X., Lashkari, A. H., Vombatkere, N., & Sharma, D. P. (2024). Authorship Attribution Methods, Challenges, and Future Research Directions: A Comprehensive Survey. Information, 15(3), 131. https://doi.org/10.3390/info15030131

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