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The using morphological component analysis, deep learning, and steganography, this study examines the secure transmission, identification, and validation of textual pictures via this Internet of Things-based channel. To extract characteristics from text-based pictures, morphological component analysis is utilised. Each of these traits has a distinct morphological component. Without losing visual quality, the morphological component technique lowers duplicative but also uncorrelated characteristics, as well as the size in bytes of a text-based picture. The capacity to obtain full text-based picture texture characteristics, rather than relying on a single spatial texture feature, is considered to be a significant aspect of the proposed approach. Before being transferred over Internet of Things-based networks, the morphological portions of a concealed text-based picture have been further divided and generally implanted …