A Hybrid Image Encryption Framework Combining Feedback DNA and Chaotic Maps for Improved Security in Cloud Storage

A Hybrid Image Encryption Framework Combining Feedback DNA and Chaotic Maps for Improved Security in Cloud Storage | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 30 September 2025 V1 Latest version Share on A Hybrid Image Encryption Framework Combining Feedback DNA and Chaotic Maps for Improved Security in Cloud Storage Authors : Ahwar Khan 0009-0002-9502-8235 [email protected] , Faisal Anwer 0000-0001-7198-704X , and Manya Chaudhary 0009-0005-8810-2734 Authors Info & Affiliations https://doi.org/10.22541/au.175920858.89199478/v1 203 views 137 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Securing sensitive visual data, such as medical images, classified surveillance or reconnaissance data, and personal multimedia, requires specialized encryption systems in the age of pervasive digital communication and cloud computing environments. Digital images exhibit high redundancy (repetitive information) and significant spatial correlations (where neighboring pixels have similar values), rendering typical encryption methods less effective. Traditional encryption methods, such as the Advanced Encryption Standard (AES), are becoming less effective as cloud computing continues to evolve. This study introduces a new image encryption system that blends feedback DNA cryptography, which uses DNA encoding for secure data transfer, with AES and a hybrid sine-skew tent map to enhance security. DNA cryptography is a novel approach that helps protect data during transmission and storage. Here, a 256-bit elliptic curve cryptography (ECC) key serves as the AES key. We investigated the performance and security metrics of the proposed framework. The results show that the ciphertext achieves a Shannon entropy of ≈ 8.0, an exceptionally low pixel correlation (almost zero in all directions), and an exceptional average differential attack resistance (NPCR ≈ 99.6072%, UACI ≈ 33.4467%), outperforming other existing techniques. Supplementary Material File (manuscript.docx) Download 3.00 MB Information & Authors Information Version history V1 Version 1 30 September 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords applied cryptography for data protection communication security cryptography data protection in emerging scenarios privacy Authors Affiliations Ahwar Khan 0009-0002-9502-8235 [email protected] Aligarh Muslim University View all articles by this author Faisal Anwer 0000-0001-7198-704X Aligarh Muslim University View all articles by this author Manya Chaudhary 0009-0005-8810-2734 Aligarh Muslim University View all articles by this author Metrics & Citations Metrics Article Usage 203 views 137 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Ahwar Khan, Faisal Anwer, Manya Chaudhary. A Hybrid Image Encryption Framework Combining Feedback DNA and Chaotic Maps for Improved Security in Cloud Storage. Authorea . 30 September 2025. DOI: https://doi.org/10.22541/au.175920858.89199478/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. 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