The Internet of Things (IoT) is the arena of simultaneous data transport. Even though protecting sensitive data is difficult, security risks can be reduced by using steganography and cryptography methods. These methods are essential for user authorization and data security. The elliptic Galois encryption protocol is presented and discussed in the suggested investigation. This protocol encrypts personal data collected from numerous medical sources using a cryptography approach. Subsequently, an elementary image is created using the encrypted data by using a Matrix XOR decoding steganography approach. Additionally, an Adaptive Firefly technique is used in the recommended approach to optimize the choice of covering chunks within the image. A number of parameters are assessed and contrasted with the current methods in accordance with the findings. Finally, the information concealed within the picture is extracted and subsequently deciphered.