Federated document search using hybrid peer-to-peer network for plagiarism detection

Widyanto Bagus Priambodo, Gladhi Guarddin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Detecting plagiarism between two papers located on different institutions cannot be done as long as there are institutions refusing to open their collection for public fearing them being plagiarized. This research developed a prototype of a cross-institutional federated document search using API-based hybrid peer-to-peer network. This approach enables searching for documents without institutions opening their collections for public. Secure link and PDF watermarking are implemented as access control methods to prevent document misuse. Emulation of text similarity detection are done using Elasticsearch. Based on the test result, we can conclude that the prototype fulfills the required business process.

Original languageEnglish
Title of host publication2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages61-66
Number of pages6
ISBN (Electronic)9781509046294
DOIs
Publication statusPublished - 6 Mar 2017
Event8th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016 - Malang, Indonesia
Duration: 15 Oct 201616 Oct 2016

Publication series

Name2016 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016

Conference

Conference8th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2016
CountryIndonesia
CityMalang
Period15/10/1616/10/16

Keywords

  • Elasticsearch
  • federated
  • hybrid
  • institution
  • papers
  • peer-to-peer
  • plagiarism

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