Selective Robust Image Encryption for Social Networks

Ahmet Emir Dirik, Nasir Memon

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


Current image encryption schemes do not achieve robustness to lossy compression and downsizing without sacrificing image quality. In this paper, we introduce a selective robust image encryption scheme for online social networks that provides a trade-off between robustness and security. With the selective encryption property, users have an option to share a blurred version of the original image and only a specific group of people having the right key can access the full content. Our method is based on the fact that image resizing and compression can be modeled as a low pass process which alters and/or removes high frequency components of image pixels. We achieve robustness to compression and downsizing by adjusting and shuffling DCT coefficients. Experimental results show that the proposed method can be applied in real world applications and social networks with satisfactory image quality.

Original languageEnglish (US)
Title of host publicationMultimedia Communications, Services and Security - 6th International Conference, MCSS 2013, Proceedings
PublisherSpringer Verlag
Number of pages11
ISBN (Print)9783642385582
StatePublished - 2013
Event6th International Conference on Multimedia Communications, Services and Security, MCSS 2013 - Krakow, Poland
Duration: Jun 6 2013Jun 7 2013

Publication series

NameCommunications in Computer and Information Science
Volume368 CCIS
ISSN (Print)1865-0929


Other6th International Conference on Multimedia Communications, Services and Security, MCSS 2013


  • image encryption
  • privacy
  • robustness
  • social networks

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics


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