• DocumentCode
    583717
  • Title

    Multi-morphological image data hiding based on the application of Rubik´s cubic algorithm

  • Author

    Tsai, Chang-Lung ; Chen, Chun-Jung ; Hsu, Wei-Leih

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Chinese Culture Univ., Taipei, Taiwan
  • fYear
    2012
  • fDate
    15-18 Oct. 2012
  • Firstpage
    135
  • Lastpage
    139
  • Abstract
    Due to the emerging of digital right managements, digital libraries and fast development of multimedia, data hiding techniques are popularly utilized to hide annotations or confidential information in multimedia. In this paper, a novel data hiding mechanism based on the application of Rubik´s cubic algorithm is proposed. The rationale of adopting Rubik´s cubic is due to it possesses 6 faces and can be divided into 54 (6 faces*3*3) elements for scrambling process. In the beginning, the embedded image will be partitioned into different unit block sizes such pixel based, 3*3 pixels based, or other m*n pixels based. After then, 54 units will be selected sequentially and transformed into 6 faces according to the six faces of a Rubik´s cubic by designated an index number. Therefore, an image can be partitioned into a lot of different 54 units based block and formed a lot of different Rubik´s cubic. Each Rubik´s cubic will be assigned a different random number for performing rotation to scramble the sequence of original 54 units. The proposed data hiding mechanism can achieve the benefits of reversible and lossless reconstruction of hidden data and host image without utilizing any information from the original host image. It is not only obtaining good visual quality for the stego-image, but also possesses high hiding capacity. Moreover, the proposed data hiding mechanism can be performed in spatial domain, frequency domain, and hybrid domains. It is also can be combined with encipher system to strengthen data security.
  • Keywords
    security of data; Rubik´s cubic algorithm; data hiding techniques; digital libraries; digital right managements; hidden data lossless reconstruction; multimedia; multimorphological image data hiding; unit block sizes; Cryptography; Data mining; Discrete cosine transforms; Discrete wavelet transforms; Image color analysis; Libraries; Macrocell networks; Data Hiding; Information security; Rubik´s cubic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security Technology (ICCST), 2012 IEEE International Carnahan Conference on
  • Conference_Location
    Boston, MA
  • ISSN
    1071-6572
  • Print_ISBN
    978-1-4673-2450-2
  • Electronic_ISBN
    1071-6572
  • Type

    conf

  • DOI
    10.1109/CCST.2012.6393548
  • Filename
    6393548