Journal of Broadcast Engineering (방송공학회논문지)

The Korean Institute of Broadcast and Media Engineers (한국방송∙미디어공학회)
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Image Steganography and Its Discrimination

영상 스테가노그래피의 개념과 판별

  • Lee, Jae Hoon (Department of Computer Science, Hanyang University) ;
  • Kim, Chanran (Department of Computer Science, Hanyang University) ;
  • Lee, Sang Hwa (Institute of New Media and Communications, Seoul National University) ;
  • Park, Jong-Il (Department of Computer Science, Hanyang University)
  • 이재훈 (한양대학교 컴퓨터소프트웨어학과) ;
  • 김찬란 (한양대학교 컴퓨터소프트웨어학과) ;
  • 이상화 (서울대학교 뉴미디어통신공동연구소) ;
  • 박종일 (한양대학교 컴퓨터소프트웨어학과)
  • Received : 2018.05.02
  • Accepted : 2018.06.11
  • Published : 2018.07.30
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Abstract

Steganography is to hide information in a media data so naturally that the other users can not notice the existence of hidden information. Data encryption focuses on the complex encoding methods of information data in order to make it difficult to decode the information even though the other users notice the existence of information. On the other hand, steganography methods concentrate on natural hiding information into other media. Since the other users do not recognize the existence of hidden information, the information can be better protected. This paper introduces the concept of image steganography that an image information is concealed into another image (cover image), and proposes a new discrimination method of steganography. This paper explains the spatial methods with LSB manipulation and frequency methods using DCT coefficients. Finally, this paper proposes a new discrimination method of image steganography by inspecting that an image information is correctly decoded.

스테가노그래피란 숨기려는 정보를 미디어 데이터에 교묘하게 삽입하여 정보의 존재를 전혀 눈치 채지 못하도록 하는 데이터 은닉 기술의 하나이다. 데이터 암호화의 경우에는 정보 데이터에 직접 복호하기 어렵게 복잡한 부호화 기법을 이용하여 변형하는 것으로, 정보의 존재를 쉽게 인지할 수 있지만 복호를 어렵게 하는데 초점이 맞춰져 있다. 그러나 스테가노그래피는 다른 미디어에 정보를 자연스럽게 숨겨서 정보의 존재를 눈치 채지 못하게 함으로써, 더욱 강력하게 정보를 보호할 수 있다. 이 논문에서는 영상에 다른 영상 정보를 숨기는 영상 스테가노그래피의 개념을 소개하고, 스테가노그래피 부호화 여부를 판별하는 기법을 제안한다. 주로 영상 픽셀의 LSB (Least Significant Bit)를 조작하는 공간영역의 기법과, JPEG 압축시 DCT 계수를 조작하는 주파수 영역의 영상 스테가노그래피를 소개하고, 이들의 스테가노그래피 부호화 여부와 복호결과를 판별하는 새로운 방법을 제안한다.

Keywords

References

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