Reliable and Secure Data Transmission in Smart Healthcare Application of Internet of Things

Author(s):  
Ashwini Kore ◽  
Shailaja Patil
Author(s):  
Abha Jadaun ◽  
Satish Kumar Alaria ◽  
Yashika Saini

Internet of things is shortened as IoT. Today IoT is a key and abrogating subject of the specialized and social importance. Results of buyers, things and vehicles, industry based and fundamental segments, sensors, and other everyday items are converged with network of internet and the solid information abilities which guarantee to change the sort in which we work and live. The proposed work demonstrates the implementation of symmetric key lightweight algorithm for secured data transmission of images and text using image encryption system as well as reversible data hiding system. In this paper, implemented symmetric key cryptography for various formats of images, as well as real time image acquisition system has been designed in the form of graphical user interface. Reversible data hiding system has also been designed for secure data transmission system.


2021 ◽  
Vol 18 (5) ◽  
pp. 6652-6671
Author(s):  
Hongan Li ◽  
◽  
Qiaoxue Zheng ◽  
Wenjing Yan ◽  
Ruolin Tao ◽  
...  

<abstract><p>The image super-resolution reconstruction method can improve the image quality in the Internet of Things (IoT). It improves the data transmission efficiency, and is of great significance to data transmission encryption. Aiming at the problem of low image quality in image super-resolution using neural networks, a self-attention-based image reconstruction method is proposed for secure data transmission in IoT environment. The network model is improved, and the residual network structure and sub-pixel convolution are used to extract the feature of the image. The self-attention module is used extract detailed information in the image. Using generative confrontation method and image feature perception method to improve the image reconstruction effect. The experimental results on the public data set show that the improved network model improves the quality of the reconstructed image and can effectively restore the details of the image.</p></abstract>


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