Protein Motifs to Hide GA-Based Encrypted Data

Abstract

The arms of the Internet octopus have reached the ends of the planet. As it has become indispensable in our daily lives, huge amounts of information are transmitted through this network, and it is growing momentarily, which has led to an increase in the number of attacks on this information. Keeping the security of this information has become a necessity today. Therefore, the scientists of cryptography and steganography have seen a great and rapid development in the previous years to the present day, where various security and protection techniques have been used in these two technologies. In this research, it was emphasized to secure the confidentiality and security of the transmitted data between the sending and receiving parties by using both techniques of encryption and steganography. In contrast, where genetic algorithms and logic gates are exploited in an encryption process, in an unprecedented approach, protein motifs are used to mask the encoded message, gaining more dispersion because there are 20 bases used to represent the protein. The real payload gained ranges between 0.8 and 2.666, which outperforms the algorithms that depend on DNA sequences.

Enhancing Data Security: A Cutting-Edge Approach Utilizing Protein Chains in Cryptography and Steganography

“…We compared the proposed algorithms with algorithms presented in [5,17,[22][23][24] according to correlation coefficient and information entropy.…”

“…Table 4 shows the payload of some previous algorithms and the SMUPC algorithm; all algorithms are DNA dependent except the state-of-the-art algorithm presented in [17], which used protein motifs to hide encrypted data.…”

“…In Noura's groundbreaking study (2022) [17], the "stego-protein algorithm" was introduced, representing the first-ever exploration of data hiding using protein motifs. This algorithm stands out by providing the highest data-hiding capacity compared to other DNA and RNA-based algorithms.…”