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Information Journal Paper

Title

OPTIMIZING IMAGE STEGANOGRAPHY BY COMBINING THEGAAND ICA

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  0-0

Abstract

 In this study, a novel approach which uses combination of STEGANOGRAPHY and cryptography for hiding information into digital images as host media is proposed. In the process, secret data is first encrypted using the mono-alphabetic substitution cipher method and then the encrypted secret data is embedded inside an image using an algorithm which combines the random patterns based on SPACE FILLING CURVES (SFC) and the optimal pair-wise LSB matching method. We employ a modified Imperialist Competitive Algorithm by GENETIC ALGORITHM operations, namely DISCRETE IMPERIALIST COMPETITIVE ALGORITHM (DICA), to perform the optimal pair-wise LSB matching method and find the suboptimum adjustment list. The performance of the proposed method is compared with other methods with respect to Peak Signal to Noise Ratio (PSNR). The PSNR value of the proposed method is higher than the state-of-the-art methods by almost 4dB to 5dB.

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  • Cite

    APA: Copy

    SADEGHI, FARAMARZ, ZARISFI KERMANI, FATEMEH, & KUCHAKI RAFSANJANI, MARJAN. (2015). OPTIMIZING IMAGE STEGANOGRAPHY BY COMBINING THEGAAND ICA. THE ISC INTERNATIONAL JOURNAL OF INFORMATION SECURITY, 7(1), 0-0. SID. https://sid.ir/paper/657060/en

    Vancouver: Copy

    SADEGHI FARAMARZ, ZARISFI KERMANI FATEMEH, KUCHAKI RAFSANJANI MARJAN. OPTIMIZING IMAGE STEGANOGRAPHY BY COMBINING THEGAAND ICA. THE ISC INTERNATIONAL JOURNAL OF INFORMATION SECURITY[Internet]. 2015;7(1):0-0. Available from: https://sid.ir/paper/657060/en

    IEEE: Copy

    FARAMARZ SADEGHI, FATEMEH ZARISFI KERMANI, and MARJAN KUCHAKI RAFSANJANI, “OPTIMIZING IMAGE STEGANOGRAPHY BY COMBINING THEGAAND ICA,” THE ISC INTERNATIONAL JOURNAL OF INFORMATION SECURITY, vol. 7, no. 1, pp. 0–0, 2015, [Online]. Available: https://sid.ir/paper/657060/en

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