Privacy-Preserving Detection of Plagiarism in Scientific Documents

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we propose a novel approach for plagiarism detection in scientific digital libraries, which does not reveal contents of unpublished documents, but allows for early detection of plagiarism attempts.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.