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Copy detection mechanisms for digital documents
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Source International Conference on Management of Data archive
Proceedings of the 1995 ACM SIGMOD international conference on Management of data table of contents
San Jose, California, United States
Pages: 398 - 409  
Year of Publication: 1995
ISBN:0-89791-731-6
Also published in ...
Authors
Sergey Brin  Department of Computer Science, Stanford University, Stanford, CA
James Davis  Department of Computer Science, Stanford University, Stanford, CA
Héctor García-Molina  Department of Computer Science, Stanford University, Stanford, CA
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 16,   Downloads (12 Months): 187,   Citation Count: 46
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ABSTRACT

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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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2
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J. Brassil, S. Low, N. Maxemchuk, and L.O'Gorman. Electronic marking and identification techniques to discourage document copying. Technical report, AT&T Bell Labratories, 1994.
 
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CITED BY  46
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Collaborative Colleagues:
Sergey Brin: colleagues
James Davis: colleagues
Héctor García-Molina: colleagues

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