As the world's population ages, those suffering from diseases will increase. Researchers in electronics, computer, networking, and medical fields need to work more seriously to make the broad vision of smart healthcare/e-health system. To achieve the objectives of e-healthcare in smart cities, there is a need to create new system that allows the acquisition of health information smartly, automatically, and transparently in order to take efficient decisions provided by the supporting system. Such systems may be designed technically by embedded together communication, smart signals, internet of things, network of sensors.

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The expanded popularity of computerized media has raised genuine worries over its security related issues. Security attacks through listening in, disguising and altering and in numerous different structures is normal these days. The field of computerized steganography fixates on hiding data in advanced record designs. While the use of steganographic strategies comparable to image and sound documents has been broadly inquired about, examination into the utilization of other holder less stays constrained. The point of this undertaking is to investigate various techniques for safely encoding messages in a mixed media holder, using both the sound and video stream, and utilizing stegoanalysis to decide their adequacy. In this paper, structure a modified CNN-based stegoanalyzer for images got by applying steganography with a one of a kind inserting key. The proposed design implants less convolutions, with a lot bigger channels in the last convolutional layer, and is increasingly broad, it can manage bigger image and lower payloads.

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