Chaotic Hénon–Logistic Map Integration: A Powerful Approach for Safeguarding Digital Images

This paper presents an integrated chaos-based algorithm for image encryption that combines the chaotic Hénon map and chaotic logistic map (CLM) to enhance the security of digital image communication. The proposed method leverages chaos theory to generate cryptographic keys, utilizing a 1D key from the logistic map generator and a 2D key from the chaotic Hénon map generator. These chaotic maps produce highly unpredictable and complex keys essential for robust encryption. Extensive experiments demonstrate the algorithm’s resilience against various attacks, including chosen-plaintext, noise, clipping, occlusion, and known-plaintext attacks. Performance evaluation in terms of encryption time, throughput, and image quality metrics validates the effectiveness of the proposed integrated approach. The results indicate that the chaotic Hénon–logistic map integration provides a powerful and secure method for safeguarding digital images during transmission and storage with a key space that reaches up to 2200. Moreover, the algorithm has potential applications in secure image sharing, cloud storage, and digital forensics, inspiring new possibilities.

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Publication Details

Journal
Journal of Cybersecurity and Privacy
Published
2025-02-18
DOI
https://doi.org/10.3390/jcp5010008
Citations
4
Primary Topic
Image Processing and 3D Reconstruction
Type
article
Field-Weighted Citation Impact
5.10

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article

Chaotic Hénon–Logistic Map Integration: A Powerful Approach for Safeguarding Digital Images

Abeer Y. Al-Hyari, Mua’ad M. Abu-Faraj, Charlie Obimbo, Moutaz Alazab
4 citations
Journal of Cybersecurity and Privacy
Image Processing and 3D Reconstruction
5.10
article

Chaotic Hénon–Logistic Map Integration: A Powerful Approach for Safeguarding Digital Images

Abeer Y. Al-Hyari, Mua’ad M. Abu-Faraj, Charlie Obimbo, Moutaz Alazab
article en
4 citations

Abstract

This paper presents an integrated chaos-based algorithm for image encryption that combines the chaotic Hénon map and chaotic logistic map (CLM) to enhance the security of digital image communication. The proposed method leverages chaos theory to generate cryptographic keys, utilizing a 1D key from the logistic map generator and a 2D key from the chaotic Hénon map generator. These chaotic maps produce highly unpredictable and complex keys essential for robust encryption. Extensive experiments demonstrate the algorithm’s resilience against various attacks, including chosen-plaintext, noise, clipping, occlusion, and known-plaintext attacks. Performance evaluation in terms of encryption time, throughput, and image quality metrics validates the effectiveness of the proposed integrated approach. The results indicate that the chaotic Hénon–logistic map integration provides a powerful and secure method for safeguarding digital images during transmission and storage with a key space that reaches up to 2200. Moreover, the algorithm has potential applications in secure image sharing, cloud storage, and digital forensics, inspiring new possibilities.

Journal of Cybersecurity and PrivacyVol. 5(1)
University of Jordan (JO), Al-Balqa Applied University (JO), University of Guelph (CA)
Qatar National Library
Openalex Percentile: Top 5%
Image Processing and 3D Reconstruction
5.10
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