Privacy Preserving Face Recognition in Cloud Robotics: A Comparative Study
Privacy Preserving Face Recognition in Cloud Robotics: A Comparative Study
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
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 stu...
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Full title
Privacy Preserving Face Recognition in Cloud Robotics: A Comparative Study
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TN_cdi_doaj_primary_oai_doaj_org_article_155d806369b04372856f51fd08de58a6
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_155d806369b04372856f51fd08de58a6
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app11146522
