Privacy Preserving Face Recognition in Cloud Robotics: A Comparative Study

Privacy Preserving Face Recognition in Cloud Robotics: A Comparative Study

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 al...

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Bibliographic Details
Main Authors: Chiranjeevi Karri, Omar Cheikhrouhou, Ahmed Harbaoui, Atef Zaguia, Habib Hamam
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
cloud robotics
image face recognition
deep learning algorithms
security
encryption algorithms
Online Access:https://www.mdpi.com/2076-3417/11/14/6522
Description
Summary: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.
ISSN:2076-3417

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