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The aim of steganographic algorithms is to identify the appropriate pixelpositions in the host or cover image, where bits of sensitive information canbe concealed for data encryption. Work is being done to improve the capacity tointegrate sensitive information and to maintain the visual appearance of thesteganographic image. Consequently, steganography is a challenging researcharea. In our currently proposed image steganographic technique, we used theShuffled Frog Leaping Algorithm (SFLA) to determine the order of pixels bywhich sensitive information can be placed in the cover image. To achievegreater embedding capacity, pixels from the spatial domain of the cover imageare carefully chosen and used for placing the sensitive data. Bolstered viaimage steganography, the final image after embedding is resistant tosteganalytic attacks. The SFLA algorithm serves in the optimal pixels selectionof any colored (RGB) cover image for secret bit embedding. Using the fitnessfunction, the SFLA benefits by reaching a minimum cost value in an acceptableamount of time. The pixels for embedding are meticulously chosen to minimizethe host image's distortion upon embedding. Moreover, an effort has been takento make the detection of embedded data in the steganographic image a formidablechallenge. Due to the enormous need for audio data encryption in the currentworld, we feel that our suggested method has significant potential inreal-world applications. In this paper, we propose and compare our strategy toexisting steganographic methods.

EmbAu: A Novel Technique to Embed Audio Data Using Shuffled Frog Leaping Algorithm