Adaptive Threshold Displacement algorithm for removing hidden information from digital images

Fahimeh Rezaei, Michael Hempel, Tao Ma, Pradhumna Lal Shrestha, Dongming Peng, Hamid Sharif

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

Abstract

The growth of the Internet and online social media, especially in recent years, also gave rise to a proliferation of online multimedia content creation and distribution. The use of modern steganography methods - the art of hiding information within multimedia - presents an unprecedented opportunity for malicious uses of these materials. Therefore, developing an effective technique to avoid the distribution of secret data is a significant problem that is addressed in this paper for digital images. We introduce a novel algorithm to remove the steganography information embedded in an image without changing the quality of the image and with no prior knowledge of the utilized steganography technique. Our new algorithm called Adaptive Threshold Displacement (ATD) is applied to images in the spatial domain. ATD divides the whole image into different segments and within a given segment, some pixels are displaced according to their contents as well as their neighboring pixel values. For evaluating the effectiveness of our proposed algorithm, we apply ATD to different images that contain hidden information, embedded using two different widely used steganography techniques. The presented results show that virtually all of the hidden information is destroyed by our proposed ATD algorithm, with a retrieval BER of over 40% in average. However, the quality of the images does not change and the PSNR of the resulting images is above 32 dB.

Original languageEnglish (US)
Title of host publication2013 IEEE Global Communications Conference, GLOBECOM 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages635-640
Number of pages6
ISBN (Print)9781479913534
DOIs
Publication statusPublished - Jan 1 2013
Event2013 IEEE Global Communications Conference, GLOBECOM 2013 - Atlanta, GA, United States
Duration: Dec 9 2013Dec 13 2013

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Other

Other2013 IEEE Global Communications Conference, GLOBECOM 2013
CountryUnited States
CityAtlanta, GA
Period12/9/1312/13/13

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Keywords

  • Desynchronization
  • Digital Image
  • Hidden Information
  • Segmentation
  • Steganalysis
  • Steganography

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Rezaei, F., Hempel, M., Ma, T., Shrestha, P. L., Peng, D., & Sharif, H. (2013). Adaptive Threshold Displacement algorithm for removing hidden information from digital images. In 2013 IEEE Global Communications Conference, GLOBECOM 2013 (pp. 635-640). [6831143] (GLOBECOM - IEEE Global Telecommunications Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2013.6831143