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The security of information transmitted online has grown to be a critical concern, particularly in the transfer of medical data. To overcome this, the data must be delivered securely without being altered or lost. This can be possibly done by combining the principles of cryptography and steganography. In the recent past, steganography is used with simpler methods like the least significant bit manipulation technique, in order to encode a lower-resolution image into a higher-resolution image. Here, we attempt to use deep neural networks to combine many two-dimensional colour images of the same resolution into a single cover image with the same resolution. In this technique, many secret images are concealed inside a single cover image using deep neural networks. The embedded cover image is then encrypted using a 3D chaotic map for diffusion and elliptic curve cryptography (ECC) for confusion to increase security.Supporting the fact that neural networks experience losses, the proposed system recovers up to 93% of the hidden image concealed in the original image. As the secret image features are identified and combined along with the cover image, the time complexity involved in the security process is minimized by 78% compared to securing the original data.<\/jats:p>","DOI":"10.1038\/s41598-024-54839-7","type":"journal-article","created":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T11:12:19Z","timestamp":1710328339000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Super-resolution deep neural network (SRDNN) based multi-image steganography for highly secured lossless image transmission"],"prefix":"10.1038","volume":"14","author":[{"given":"S.","family":"Priya","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S. 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Image steganography embedded with advance encryption standard (aes) securing with sha-256. Int. J. Innov. Technol. Exploring Eng. (IJITEE) 9(8), 641\u2013648 (2020).","journal-title":"Int. J. Innov. Technol. Exploring Eng. (IJITEE)"},{"issue":"2","key":"54839_CR6","first-page":"210","volume":"7","author":"P Deshmukh","year":"2016","unstructured":"Deshmukh, P. An image encryption and decryption using aes algorithm. Int. J. Sci. Eng. Res. 7(2), 210\u2013213 (2016).","journal-title":"Int. J. Sci. Eng. Res."},{"key":"54839_CR7","doi-asserted-by":"crossref","unstructured":"Joshy, A., Baby, K.\u00a0A., Padma, S. & Fasila, K. Text to image encryption technique using rgb substitution and aes. In 2017 International Conference on Inventive Computing and Informatics (ICICI), pp. 1133\u20131136 (IEEE, 2017).","DOI":"10.1109\/ICICI.2017.8365317"},{"issue":"8","key":"54839_CR8","first-page":"194","volume":"9","author":"P Sharma","year":"2020","unstructured":"Sharma, P. & Sabharwal, H. A new image encryption using modified aes algorithm and its comparision with aes. Int. J. Eng. Res. Technol. (IJERT) 9(8), 194\u2013197 (2020).","journal-title":"Int. J. Eng. Res. Technol. (IJERT)"},{"issue":"2","key":"54839_CR9","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1049\/ipr2.12646","volume":"17","author":"MA Rafidison","year":"2023","unstructured":"Rafidison, M. A., Rafanantenana, S. H. J., Rakotomihamina, A. H., Toky, R. F. M. & Ramafiarisona, H. M. Contribution of neural networks in image steganography, watermarking and encryption. IET Image Process. 17(2), 463\u2013479 (2023).","journal-title":"IET Image Process."},{"key":"54839_CR10","first-page":"308","volume":"5","author":"R Saini","year":"2018","unstructured":"Saini, R. Comparative study of current image steganography techniques. Int. J. Recent Res. Asp. 5, 308\u2013310 (2018).","journal-title":"Int. J. Recent Res. 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