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plaintext before AES encryption. According to the authors, offering various services. It operates multiple servers with this method improves security and resistance to various Data Owner AES and other existing methods using various statistical | Data owners store confidential or regular data on the cloud server's database. They rely on the cloud service ae: ian Sea: ae: |: ae: ee. ee: (a ee sae Data owners store confidential or regular data on the This proposed approach focuses on two key elements:

Table 1 plaintext before AES encryption. According to the authors, offering various services. It operates multiple servers with this method improves security and resistance to various Data Owner AES and other existing methods using various statistical | Data owners store confidential or regular data on the cloud server's database. They rely on the cloud service ae: ian Sea: ae: |: ae: ee. ee: (a ee sae Data owners store confidential or regular data on the This proposed approach focuses on two key elements:

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Users represent authorized entities or individuals aiming to access data content or utilize services from the cloud server. The system model of F-DNAES is depicted
Users represent authorized entities or individuals aiming to access data content or utilize services from the cloud server. The system model of F-DNAES is depicted
Nucleotides, such as A, T, G, and C, encode DNA sequences. Proteins are created by combining the two opposing binary strands of the DNA. In DNA-based encryption, only two letters, C and T, are utilized, and the letter A is used as feedback or to maintain track of the terms used during the XOR operation rather than working on all the nucleotides (Young et al., 2007). This process involves dual DNA encoding, where the plaintext is first converted to DNA, then the DNA is converted back to plaintext, and finally, the cipher text is converted to DNA. This results in the final ciphered text produced by these operations (Safaa et al., 2023). Working of F-DNA (Feedback DNA) opposing binary strands of the DNA. In DNA-based
Nucleotides, such as A, T, G, and C, encode DNA sequences. Proteins are created by combining the two opposing binary strands of the DNA. In DNA-based encryption, only two letters, C and T, are utilized, and the letter A is used as feedback or to maintain track of the terms used during the XOR operation rather than working on all the nucleotides (Young et al., 2007). This process involves dual DNA encoding, where the plaintext is first converted to DNA, then the DNA is converted back to plaintext, and finally, the cipher text is converted to DNA. This results in the final ciphered text produced by these operations (Safaa et al., 2023). Working of F-DNA (Feedback DNA) opposing binary strands of the DNA. In DNA-based
Table 3. XOR operation for E
Table 3. XOR operation for E
Table 2. General XOR operation
Table 2. General XOR operation
Table 6. XOR operation for r.
Table 6. XOR operation for r.
Table 8. XOR operation for p
Table 8. XOR operation for p
Table 10. The average execution time for F-DNAES in seconds In the proposed approach, we took the average of 5 executions of 5 different datasets of Different Algorithms to check the validity of the suggested method. The time for encryption, decryption, and key generation along with the different key sizes of F-DNAES shown in Figure 5, Figure 6, and Figure 7, and depicted in Table 11, and the comparison with Different Algorithms like RSA, DES, AES, ECC, and F-DNAES is shown in Figure 7, Figure 8 and Figure 9: and the time of encryption for each scheme.
Table 10. The average execution time for F-DNAES in seconds In the proposed approach, we took the average of 5 executions of 5 different datasets of Different Algorithms to check the validity of the suggested method. The time for encryption, decryption, and key generation along with the different key sizes of F-DNAES shown in Figure 5, Figure 6, and Figure 7, and depicted in Table 11, and the comparison with Different Algorithms like RSA, DES, AES, ECC, and F-DNAES is shown in Figure 7, Figure 8 and Figure 9: and the time of encryption for each scheme.
Figure 5. Encryption Time Comparison with Different Data Sizes. Table 11. The Average time of 5 Dataset executed through F-DNAES.
Figure 5. Encryption Time Comparison with Different Data Sizes. Table 11. The Average time of 5 Dataset executed through F-DNAES.
Figure 6. Decryption Time Comparison of F-DNAES with Different Data Sizes.
Figure 6. Decryption Time Comparison of F-DNAES with Different Data Sizes.
Figure 9. Decryption Time Comparison of Different Algorithms Overall, the proposed methodology offers substantial essential to address the computational complexity, key
Figure 9. Decryption Time Comparison of Different Algorithms Overall, the proposed methodology offers substantial essential to address the computational complexity, key
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