Privacy preserving face recognition in cloud robotics: a comparative study

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  • dc.contributor.author Chiranjeevi, Karri
  • dc.contributor.author Cheikhrouhou, Omar
  • dc.contributor.author Harbaoui, Ahmed
  • dc.contributor.author Zaguia, Atef
  • dc.contributor.author Hamam, Habib
  • dc.date.accessioned 2025-10-08T11:07:10Z
  • dc.date.available 2025-10-08T11:07:10Z
  • dc.date.issued 2021
  • dc.date.updated 2025-10-08T11:07:10Z
  • dc.description.abstract Real-time robotic applications encounter the robot on board resources' limitations. The speed of robot face recognition can be improved by incorporating cloud technology. However, the transmission of data to the cloud servers exposes the data to security and privacy attacks. Therefore, encryption algorithms need to be set up. This paper aims to study the security and performance of potential encryption algorithms and their impact on the deep-learning-based face recognition task's accuracy. To this end, experiments are conducted for robot face recognition through various deep learning algorithms after encrypting the images of the ORL database using cryptography and image-processing based algorithms.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Chiranjeevi K, Cheikhrouhou O, Harbaoui A, Zaguia A, Hamam H. Privacy preserving face recognition in cloud robotics: a comparative study. Appl Sci (Basel). 2021 Jul 2;11(14):6522. DOI: 10.3390/app11146522
  • dc.identifier.doi http://dx.doi.org/10.3390/app11146522
  • dc.identifier.issn 2076-3417
  • dc.identifier.uri http://hdl.handle.net/10230/71436
  • dc.language.iso eng
  • dc.publisher MDPI
  • dc.relation.ispartof Applied Sciences (Switzerland). 2021;11(14):6522
  • dc.rights © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri http://creativecommons.org/licenses/by/4.0/
  • dc.subject.keyword Cloud robotics
  • dc.subject.keyword Image face recognition
  • dc.subject.keyword Deep learning algorithms
  • dc.subject.keyword Security
  • dc.subject.keyword Encryption algorithms
  • dc.title Privacy preserving face recognition in cloud robotics: a comparative study
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/publishedVersion