Copy detection mechanisms for digital documents
Open accessAbstract
In a digital library system, documents are available in digital form and therefore are more easily copied and their copyrights are more easily violated. This is a very serious problem, as it discourages owners of valuable information from sharing it with authorized users. There are two main philosophies for addressing this problem: prevention and detection. The former actually makes unauthorized use of documents difficult or impossible while the latter makes it easier to discover such activity.In this paper we propose a system for registering documents and then detecting copies, either complete copies or partial copies. We describe algorithms for such detection, and metrics required for evaluating detection mechanisms (covering accuracy, efficiency, and security). We also describe a working prototype, called COPS, describe implementation issues, and present experimental results that suggest the proper settings for copy detection parameters.
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Research works printed but not linked: 1
- C. Anderson. Robocops: Stewart and Feder's mecha- nized misconduct search. Nature, 350(6318):454-455, April 1991.
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- Authors
- Brin, S., Davis, J., & García-Molina, H.
- Affiliations
- Stanford University (US)
- ORCID
- Davis, James
- Venue
- Proceedings of the 1995 ACM SIGMOD international conference on Management of data - SIGMOD '95
- Publisher
- ACM Press
- Published
- 1995
- Pages
- 398-409
- ISSN
- 0730-8078 (ISSN-L)
- OpenAlex
- W2007842132
- Cited by
- 479
- References
- 0
- Citations by year
- 2026: 1 · 2024: 2 · 2023: 1 · 2022: 3 · 2021: 9 · 2020: 8 · 2019: 7 · 2018: 13 · 2017: 15 · 2016: 13 · 2015: 21 · 2014: 16 · 2013: 17 · 2012: 29
- FWCI
- 8.99
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- ACM SIGMOD International Conference on Management of Data (SIGMOD) (publishedVersion)
- Funders
- U.S. Department of Defense
- Advanced Research Projects Agency
- Topics
- Physical Sciences › Computer Science › Information Systems › Digital Rights Management and Security
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Keywords
- copy detection, electronic documents, copyright infringement, digital libraries, document registration, detection metrics
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