###### Abstract
Our approach proposes that the encryption of sensitive information happens at edge devices and that the cloud is used for storage purposes only. Our work is focused on securing the images, and AES is the preferred choice because it is the most popular and widely used symmetric key encryption algorithm [5]. Any person who possesses the key can encrypt or decrypt the message successfully. A major limitation of any symmetric key algorithm is that it is dependent on  
1. Sharing the secret key between two parties. 2. Keeping the secret key secure from the intruder so that communication is not compromised. The evolution of new technology led to the development of new cryptographic algorithms as well as new cryptanalysis methods. This will again give rise to the need for strong, secure cryptographic algorithms [6,7]. Although the AES algorithm has good confusion and diffusion properties, a weak key could make it vulnerable to attacks. Subkeys generated by the key schedule algorithm (KSA) in AES have a linear relationship with each other and the secret key. A weak KSA reduces the overall security of the cipher. There has been less emphasis on key generation and subkey generation compared to the strong encryption algorithm. In our proposed SARNC method, we use a neural key exchange protocol to generate the actual key of encryption/decryption, which is different from the shared secret key. In the process of key generation, tree parity machines (TPMs) are used on both sides. Final synchronized weights between TPMs are used as a key [8]. The suggested method also generates the subkeys by the Khazad function, which increases the complexity between the subkeys and the secret key. Another issue addressed in our work is channel errors occurring during the transmission of an encrypted file. Communication via a wireless communication medium is mostly noisy and exposed to invaders. Attenuation, bandwidth limitations, multipath propagation, etc., all affect the efficiency of a wireless channel. To guard the data against channel errors, error correction codes (ECC) are used. We have combined AES with a low-density parity-check code (LDPC) [9], which is a linear block code with a performance close to Shannon's limit. It is highly popular and widely used because of its low decoding complexity and flexible structure. A pictorial representation of the proposed approach is given in Figure 1.  
The proposed work is summarized as follows:  
1. A new key generation technique for securing the shared key of AES and a new subkey generation technique to strengthen the KSA. 2. Instead of treating encryption and encoding as two separate steps, our approach combines them into a single step. This helps to achieve the security and reliability of image data over the internet. 3. The new technique successfully passes the key strength analysis tests, such as frequency test, bit independence test, and bitwise uncorrelation test. The paper is divided into the following sections: Section 2 explains the related work which helps us understand current trends and technology. In Section 3, we present the system architecture and model, and the projected goal. Then, complete explanation of the scheme is given in Section 4 under Methodology. Result analysis concerning security and performance is carried out in Section 5, followed by the conclusion of the paper.