Competitive coevolution for color image steganography

Sarthak Ahuja, C. Udaya Kumar, S. Hemalatha

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

Abstract

The need for more secure and advanced dissemination is ever increasing since advancement in digital transmission has also posed equally challenging threats. Steganography has been around for a while now, with frequent updates in the traditional methods. In the past one year, with the rise in research in deep learning, Steganography and Steganalysis have emerged as a prime application. The paper has further worked on it, with introducing a competitive coevolution learning approach wherein Generative Adversarial Networks(GANs) are used for performing steganography along with steganalysis to improve the overall results. RGB color images are used as cover and secret images. A mixed loss function was used which is a weighted sum of Mean Squared Error(MSE), Structural Similarity Index(SSIM) and Mean Structural Similarity Index(MSSIM) for generating the stego image and extracting the secret image. The major improvements proposed in this paper are the introduction of attention based Squeeze and Excitation-Inception modules in the hiding and the reveal networks, which enhance spatial encoding and increase the representational power of the network, thereby giving better overall results.

Original languageEnglish
Title of host publication2019 International Conference on Intelligent Computing and Control Systems, ICCS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages719-723
Number of pages5
ISBN (Electronic)9781538681138
DOIs
Publication statusPublished - 05-2019
Event2019 International Conference on Intelligent Computing and Control Systems, ICCS 2019 - Madurai, India
Duration: 15-05-201917-05-2019

Publication series

Name2019 International Conference on Intelligent Computing and Control Systems, ICCS 2019

Conference

Conference2019 International Conference on Intelligent Computing and Control Systems, ICCS 2019
CountryIndia
CityMadurai
Period15-05-1917-05-19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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