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Secret Image Sharing Scheme for Gray-Level Images Using Toeplitz Matrix Based Stream Cipher

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Security in Computing and Communications (SSCC 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1208))

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Abstract

The need of providing secret image sharing allows us protecting the information in terms of data integrity, confidentiality and authenticity, which has become obvious in the past few years. However, in the construction of secret image sharing schemes the disadvantages; image size extension and loss of contrast are necessary to be addressed. In this paper, an efficient gray-level image sharing scheme using Toeplitz Matrix-based Stream Cipher is proposed to addresses these problems. The Toeplitz one-way function based key is engendered using the sequence generated by the register with nonlinear update function (NLUF) and the public-key. Further, it is utilized in generating the secured dynamic keystream. The proposed scheme helps to achieve single-fold image sharing, unlike the existing Chen’s scheme. Also, the secret image is restored without any size extension and loss in contrast as well. The experiments such as entropy, correlation, differential, and the histogram of plaintext and ciphertext images are performed for analyzing the security performance of the proposed scheme. Further, the generated dynamic binary keystream sequence is analyzed for randomness using NIST statistical tests.

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Correspondence to Shailendra Kumar Tripathi .

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Tripathi, S.K., Gupta, B., Pandian, K.K.S., Singh, Y.J. (2020). Secret Image Sharing Scheme for Gray-Level Images Using Toeplitz Matrix Based Stream Cipher. In: Thampi, S., Martinez Perez, G., Ko, R., Rawat, D. (eds) Security in Computing and Communications. SSCC 2019. Communications in Computer and Information Science, vol 1208. Springer, Singapore. https://doi.org/10.1007/978-981-15-4825-3_21

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  • DOI: https://doi.org/10.1007/978-981-15-4825-3_21

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-4824-6

  • Online ISBN: 978-981-15-4825-3

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