  The aim of steganographic algorithms is to identify the appropriate pixel
positions in the host or cover image, where bits of sensitive information can
be concealed for data encryption. Work is being done to improve the capacity to
integrate sensitive information and to maintain the visual appearance of the
steganographic image. Consequently, steganography is a challenging research
area. In our currently proposed image steganographic technique, we used the
Shuffled Frog Leaping Algorithm (SFLA) to determine the order of pixels by
which sensitive information can be placed in the cover image. To achieve
greater embedding capacity, pixels from the spatial domain of the cover image
are carefully chosen and used for placing the sensitive data. Bolstered via
image steganography, the final image after embedding is resistant to
steganalytic attacks. The SFLA algorithm serves in the optimal pixels selection
of any colored (RGB) cover image for secret bit embedding. Using the fitness
function, the SFLA benefits by reaching a minimum cost value in an acceptable
amount of time. The pixels for embedding are meticulously chosen to minimize
the host image's distortion upon embedding. Moreover, an effort has been taken
to make the detection of embedded data in the steganographic image a formidable
challenge. Due to the enormous need for audio data encryption in the current
world, we feel that our suggested method has significant potential in
real-world applications. In this paper, we propose and compare our strategy to
existing steganographic methods.
