PUPPIES: Transformation-supported personalized privacy preserving partial image sharing

Jianping He, Bin Liu, Deguang Kong, Xuan Bao, Na Wang, Hongxia Jin, George Kesidis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Sharing photos through Online Social Networks isan increasingly popular fashion. However, it poses a seriousthreat to end users as private information in the photos maybeinappropriately shared with others without their consent. Thispaper proposes a design and implementation of a system using a dynamic privacy preserving partial image sharing technique (namely PUPPIES), which allows data owners to stipulate specific private regions (e.g., face, SSN number) in an image and correspondingly set different privacy policies for each user. As a generic technique and system, PUPPIES targets at threats about over-privileged and unauthorized sharing of photos at photo service provider (e.g., Flicker, Facebook, etc) side. To this end, PUPPIES leverages the image perturbation technique to 'encrypt' the sensitive areas in the original images, and therefore it can naturally support popular image transformations (such as cropping, rotation) and is well compatible with most image processing libraries. The extensive experiments on 19,000 images demonstrate that PUPPIES is very effective for privacy protection and incurs only a small computational overhead. In addition, PUPPIES offers high flexibility for different privacy settings, and is very robust to different types of privacy attacks.

Original languageEnglish (US)
Title of host publicationProceedings - 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages359-370
Number of pages12
ISBN (Electronic)9781467388917
DOIs
StatePublished - Sep 29 2016
Event46th IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2016 - Toulouse, France
Duration: Jun 28 2016Jul 1 2016

Publication series

NameProceedings - 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2016

Other

Other46th IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2016
CountryFrance
CityToulouse
Period6/28/167/1/16

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All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Software
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

Cite this

He, J., Liu, B., Kong, D., Bao, X., Wang, N., Jin, H., & Kesidis, G. (2016). PUPPIES: Transformation-supported personalized privacy preserving partial image sharing. In Proceedings - 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2016 (pp. 359-370). [7579755] (Proceedings - 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DSN.2016.40