# A Review: Image Processing Techniques' Roles towards Energy-Efficient and Secure IoT
## 9 Conclusions
### Final Thoughts and Remarks  
1. Image processing has been used in IoT monitoring applications, according to [42];
2. Image processing techniques have made a significant contribution to IoT's ability to protect data transferred between devices and networks;
3. By using a variety of image processing techniques, image processing techniques have reinforced the encryption idea applied to digital data. When comparing an image processing-based security solution to a non-image processing-based method, the number of vulnerabilities is decreased [48];
4. The use of sensors and cameras for detecting movement and collecting images helps improve home safety [29];
5. At the perception layer, image processing has contributed to the safe transmission of sensitive material to the network layer. Cloud-based storage will be used for the images. It is thus possible to use the proposed security strategy for a wide range of IoTSs, including cloud-enabled IoT, that require encrypting images using random and sophisticated patterns with the aid of CAs [49];
6. Image encryption has been utilized by many proposed systems and applications described in the literature to improve the security and privacy of the material that an image conveys [49; 50];
7. By grouping the infected images into groups, image processing has helped identify malware assaults. Malware binaries are used to create malware images. Because malware images are classified, IoT devices impacted by an assault will be better protected in terms of security; as a result, the DDoS virus is a well-known assault against IoT devices [51];
8. IoTSs have been able to benefit greatly from image processing. An image processing technique may be used to record images (as a video stream) for the purpose of performing monitoring tasks for an area or environment, such as an industrial zone containing sensitive equipment. Image processing can be used not only to analyze acquired images at the site or at the fog nodes but it can also be used to secure the communication channel between regions where images are captured and fog nodes before any transferring of these images have taken place. Creating an energy-friendly system design might lower other parameters like transmission time, bandwidth, storage, and transmission cost. In addition, image protection is a second responsibility. With the use of various image processing techniques and other mathematical models, such as the CA rule conception, it may be implemented in which images themselves can be encrypted;
9. A lot of processing and computing resources will be saved using lightweight security solutions before images are sent to the IoT Cloud [57];
10. According to [68], maintaining secure communication channels during image transmission isn't enough; IoT servers devoted to image storage must also be kept at a high level of security. The probability of the secret image (or any other IoT-associateddata) being hacked is reduced, and the content's safety is improved when it is divided up into blocks;
* Embedding a password into an encrypted image that conceals medical data is possible [64]. Using a verification technique performed to the encrypted image's embedded password and sending that password to the authorized individual improves image content security in terms of integrity;
* Many IoTSs employ image processing as a monitoring and security tool.