Selective Robust Image Encryption for Social Networks

  • Ahmet Emir Dirik
  • Nasir Memon
Part of the Communications in Computer and Information Science book series (CCIS, volume 368)

Abstract

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.

Keywords

image encryption robustness privacy social networks 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Ahmet Emir Dirik
    • 1
    • 2
  • Nasir Memon
    • 2
    • 3
  1. 1.Electronic Engineering Dept., Faculty of Engineering and ArchitectureUludag UniversityBursaTurkey
  2. 2.Center for Interdisciplinary Studies in Security and PrivacyNYUAbu DhabiUAE
  3. 3.Computer Science & Engineering Dept.Polytechnic Institute of NYUUSA

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