DocumentCode
1619119
Title
Privacy-Preserving Detection of Plagiarism in Scientific Documents
Author
Jensen, Meiko ; Gruschka, Nils
Author_Institution
Unabhangiges Landeszentrum fur Datenschutz Schleswig-Holstein (ULD), Kiel, Germany
fYear
2015
Firstpage
175
Lastpage
180
Abstract
Scientific documents need to be checked for plagiarism before publication. On the other hand, authors do not want to reveal their document´s contents prior to successful publication. In this paper, we propose a novel approach for plagiarism detection in scientific digital libraries, which does not reveal contents of unpublished documents, but allows for early detection of plagiarism attempts. Based on the popular PDF document format, we illustrate the technical feasibility of our approach in detail.
Keywords
data privacy; digital libraries; document handling; electronic publishing; security of data; PDF document format; plagiarism detection; privacy-preserving detection; publication; scientific digital library; Databases; Graphics; Libraries; Plagiarism; Portable document format; Security; Standards; PDF; digital library; plagiarism detection; privacy; scientific publication;
fLanguage
English
Publisher
ieee
Conference_Titel
Services (SERVICES), 2015 IEEE World Congress on
Conference_Location
New York City, NY
Print_ISBN
978-1-4673-7274-9
Type
conf
DOI
10.1109/SERVICES.2015.34
Filename
7196522
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