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  4. Privacy-Preserving Photo Sharing based on a Secure JPEG
 
conference paper

Privacy-Preserving Photo Sharing based on a Secure JPEG

Yuan, Lin  
•
Korshunov, Pavel
•
Ebrahimi, Touradj  
2015
2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
The Third International Workshop on Security and Privacy in Big Data (BigSecurity 2015)

Sharing photos online is a common activity on social networks and photo hosting platforms, such as Facebook, Pinterest, Instagram, or Flickr. However, after reports of citizens surveillance by governmental agencies and the scandalous leakage of celebrities private photos online, people have become concerned about their online privacy and are looking for ways to protect it. Popular social networks typically offer privacy protection solutions only in response to the public demand and therefore are often rudimental, complex to use, and provide limited degree of control and protection. Most solutions either allow users to control who can access the shared photos or for how long they can be accessed. In contrast, in this paper, we take a structured privacy by design approach to the problem of online photo privacy protection. We propose a privacy-preserving photo sharing architecture that takes into account content and context of a photo with privacy protection integrated inside the JPEG file itself in a secure way. We demonstrate the proposed architecture with a prototype mobile iOS application called ProShare that offers scrambling as the privacy protection tool for a selected region in a photo, secure access to the protected images, and secure photo sharing on Facebook.

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Type
conference paper
DOI
10.1109/INFCOMW.2015.7179382
Author(s)
Yuan, Lin  
Korshunov, Pavel
Ebrahimi, Touradj  
Date Issued

2015

Published in
2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Start page

185

End page

190

Subjects

privacy protection

•

photo sharing

•

Secure JPEG

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
GR-EB  
Event nameEvent placeEvent date
The Third International Workshop on Security and Privacy in Big Data (BigSecurity 2015)

Hong Kong

April 27, 2015

Available on Infoscience
March 3, 2015
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/111823
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