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An Authentication Technique for Image/Legal Document (ATILD)

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Abstract

The paper presents an image/legal-document authentication and secures message transmission technique by embedding message/image/message-digest into color images. Image authentication is done by embedding message/image within the image pixels of source image. Legal document authentication is done by embedding the authenticating image and self generated message digest (generated from signed document part) into the image part of the legal document. The position of insertion is chosen within each byte of source image using XOR operation between upper three bits of each source byte and k where k is any number from 0 to 7. Three bits of authenticating message/image/message-digest are embedded in each byte of source image. Fabrication process starts with the dimension of authenticating image followed by message digest (MD) and ends by embedding the content of authenticating message/image. To enhance the security further a layer has also been fabricated by XOR operation of the embedded image with another self generated MD key obtained from the source image. The decoding is done by applying the reverse algorithm. Experimental results are tested with the aid of Histogram analysis, noise analysis, standard deviation computation and PSNR, IF, MSE analysis of the source and embedded image and has been compared with popular existing steganographic algorithms like S-Tools where the proposed ATILD is capable to hide large volume of data than S-Tools and shows better performance. The proposed ATILD technique also shows high amount of sustainability against various attacks.

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Acknowledgement

The author expresses the deep sense of gratitude to the Dept. of Computer Sc. and Engg. & Dept. of Engineering and Technological Studies, University of Kalyani, where the work has been carried out.

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Authors and Affiliations

  1. Department of Engineering and Technological Studies, University of Kalyani, Kalyani, Nadia, 741235, West Bengal, India

    Nabin Ghoshal

  2. Department of Computer Science and Engineering, University of Kalyani, Kalyani, Nadia, 741235, West Bengal, India

    J. K. Mandal & A. Khamrui

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  1. Nabin Ghoshal
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Correspondence to Nabin Ghoshal.

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Ghoshal, N., Mandal, J.K. & Khamrui, A. An Authentication Technique for Image/Legal Document (ATILD). J Sign Process Syst 67, 187–199 (2012). https://doi.org/10.1007/s11265-010-0557-7

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  • DOI: https://doi.org/10.1007/s11265-010-0557-7

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