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
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we propose a novel approach for plagiarism detection in scientific digital libraries, which does not reveal contents of unpublished documents, but allows for early detection of plagiarism attempts.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;
Conference_Titel :
Services (SERVICES), 2015 IEEE World Congress on
Conference_Location :
New York City, NY
Print_ISBN :
978-1-4673-7274-9
DOI :
10.1109/SERVICES.2015.34
