## 2 Related Work  
The Internet of Things has facilitated the proliferation of the Internet of Healthcare Things (IoHT) and the IoMT. With the IoHT and IoMT, the problems of healthcare systems can be reduced and monitored for almost all kinds of diseases. The authors in [41] combined the concept of the IoT and cloud computing with the healthcare system. IoT applicationsare projected to address many challenges, and a cloud-based model was employed to offer services to recognize a patient from the home. The work in [42] discussed the design of a new method for the healthcare system in response to academic, industrial, and societal needs of the IoT. The authors discussed a system for monitoring heart rate using a smart health band, whose information is sent to the patient's friends and family. Various applications, technologies and frameworks and the industrial importance of IoT were discussed in [43]. The paper discussed the security problems associated with the privacy of the IoT and model the necessity of avoiding classification attacks. An intelligent IoT model for enhanced medical care systems and e-health with reduced IoT attacks was proposed. A highlight of the significance of the IoT in the medical care system was also described. A body sensor network capable of proficiently and continually communicating data to a public IoT-based system was proposed in [44]. The author explained the role of communication systems in the improvement in IoT practices in healthcare systems. Some essential security restrictions that could improve the security of the planned procedure were also suggested alongside the upcoming system on movable objects. The increased exchange of audiovisual data through various cloud services necessitates an effective security approach. It is anticipated to have improved security resiliency, minimal quality compromise, and low computing complexity. Unfortunately, cryptography and steganography, two of the most important traditional security techniques, have a large computational cost, therefore limiting their ability to communicate over clouds, where each data input was previously very large, and a huge volume of multimedia data are transmitted over the network. To address the aforementioned issues and make a potential solution more feasible, the authors in [45] used the Feistel structure and substitution permutation cryptography, which uses five rounds of substitution permutation to increase confusion and diffusion. The study only used a 64-bit block cipher with an identical key size to maintain superior security with minimal processing. The findings showed that even while keeping low entropy, strong correlation, and adequate computing time for multimedia data encryption, the model delivered higher attack resilience. The study, however, failed to address the issue of privacy of owners' data over the network, which was not considered. The authors of [46] used an inventive cryptographic model with optimization techniques to study the security of medical images in the IoT. The majority of the time, patient data are kept on a cloud server in the hospital, therefore security is crucial. Therefore, a different framework was needed for the efficient storage and secure transmission of medical images combined with patient data. The most advantageous key was selected utilizing hybrid swarm optimization to increase the security level of the encryption and decryption process, specifically elliptic curve cryptography's grasshopper and particle swarm optimization techniques. According to this technique, the IoT framework secures medical images. The outcomes of this execution were contrasted and compared, while a variety of encryption algorithms and their optimization techniques are known to have the highest peak signal-to-noise ratio values, 59.45 dB, and a 1 structural similarity index, respectively. However, the privacy of the patient information was not taken into consideration.