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<p>In an era of increasing data transmission and storage demands, traditional encryption techniques are increasingly challenged by advancements in computing power and cryptanalysis. This paper introduces a powerful hybrid image encryption scheme that synergizes DNA computing with Lorenz chaotic dynamics to achieve high levels of security and efficiency. By encoding image pixels as long DNA sequences, scrambling them with a Lorenz chaotic map, and performing DNA-based operations, the proposed method disrupts predictable patterns and reinforces encryption strength. Experimental evaluations reveal that the scheme offers an exceptionally large key space of <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="10586_2024_4948_Article_IEq1.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="35" /> </InlineMediaObject> <EquationSource Format="TEX">\(10^{324}\)</EquationSource> <EquationSource Format="MATHML"><math> <msup> <mn>10</mn> <mn>324</mn> </msup> </math></EquationSource> </InlineEquation>, providing robust defense against brute-force attacks. It also demonstrates high sensitivity to key variations, alongside metrics such as NPCR and UACI approaching optimal values, confirming its resistance to differential and statistical attacks. With its ability to deliver substantial improvements over conventional techniques, this innovative approach is well-suited for real-world applications where data confidentiality and integrity are essential-such as in healthcare, defense, and cloud storage. This work underscores the potential of combining DNA computing and chaotic dynamics to enhance the security of multimedia encryption systems, paving the way for more resilient cryptographic solutions in an increasingly data-driven world</p>

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Hybrid image encryption: leveraging DNA sequencing and Lorenz chaotic dynamics for enhanced security

  • 期刊论文

  • 发表日期：

    2025年2月25日

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  • Kadda Benyahia,
  • Abdelkader Khobzaoui,
  • Samir Benbakreti

摘要

In an era of increasing data transmission and storage demands, traditional encryption techniques are increasingly challenged by advancements in computing power and cryptanalysis. This paper introduces a powerful hybrid image encryption scheme that synergizes DNA computing with Lorenz chaotic dynamics to achieve high levels of security and efficiency. By encoding image pixels as long DNA sequences, scrambling them with a Lorenz chaotic map, and performing DNA-based operations, the proposed method disrupts predictable patterns and reinforces encryption strength. Experimental evaluations reveal that the scheme offers an exceptionally large key space of \(10^{324}\) 10 324 , providing robust defense against brute-force attacks. It also demonstrates high sensitivity to key variations, alongside metrics such as NPCR and UACI approaching optimal values, confirming its resistance to differential and statistical attacks. With its ability to deliver substantial improvements over conventional techniques, this innovative approach is well-suited for real-world applications where data confidentiality and integrity are essential-such as in healthcare, defense, and cloud storage. This work underscores the potential of combining DNA computing and chaotic dynamics to enhance the security of multimedia encryption systems, paving the way for more resilient cryptographic solutions in an increasingly data-driven world