The vast serious security challenges has created new secured ways of transmitting information and reduce the chance of hackers to use their methods to analyse the confidential information between two parties. The research combines between several stages of encryption techniques: DNA encryption algorithm, GZIP algorithm, AES cryptography and image steganography. We proposed multiplying by a factor along the last stage of DNA encryption, and the outputs of this process are compressed using the GZIP algorithm, where the message is converted to a new form and its size reduced to (75%), then after the message is encrypted using the AES encryption algorithm to increase the level of security. Furthermore, LSB image Steganography technology is utilized to hide the encrypted message in a high-quality image. By combining these four security technologies we obtained good results for image measures such that Lina sample provided (PSNR is equal 67.589, MSE is equal 0.0116, SSIM is equal 1, NPCR score is 0.011630262741374 and UACI score is 4.5608873495583733e-05) and we ensure transferring data without gaps & make it difficult and more complex for the hacker.
In this paper, this method is intended to improve the optimization of the classification problem in machine learning. The EKH as a global search optimization method, it allocates the best representation of the solution (krill individual) whereas it uses the simulated annealing (SA) to modify the generated krill individuals (each individual represents a set of bits). The test results showed that the KH outperformed other methods using the external and internal evaluation measures.
Cryptography is a main item to generate confidence and empower services in the digital technology, while Steganography has vastly expanded in digital medias. Although developing these technologies hackers has established new methods to hack confidential information. To overcome these challenges, we proposed algorithm that encrypts a message by using DNA encryption algorithm, then multiply the output by a factor then compress the multiplying message by using GZIP algorithm, the last stage is hiding a compressed message in (LSB) image pixels. By using image measures such that PSNR, MSE, SSIM, NPCR, UACI and the ratio of data compression up to 75% where reduced the image difference, we obtained a good result when we combined these technologies. This work contributes to reducing the risk of information breach when sending and receiving confidential information between parties.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.